Difference between revisions of "JoelBurdick"

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* '''Agricultural:''' [http://www.slope-mower.com/ Spider Robot Lawn Mower]; [http://www.unibots.com/Agricultural_Robotics_Portal.htm Agricultrral Robotics Portal]; [http://www.harvestautomation.com/ Harvest Automation]; [http://www.roboticharvesting.com/index.html Robotic Harvesting]; [http://www.agrobot.es/ Agrobot]; [http://en.wikipedia.org/wiki/Agricultural_robot Wikipedial AgRobot Page]; [http://www.fieldrobot.dk/ FieldRobot.dk] ([http://www.fieldrobot.dk/pages/hortibot.php  Hortibot]);[http://www.fieldrobot.nl/ Ag FieldRobot Contest]; [http://www.hortibot.dk/index.html Hortibot];
 
* '''Agricultural:''' [http://www.slope-mower.com/ Spider Robot Lawn Mower]; [http://www.unibots.com/Agricultural_Robotics_Portal.htm Agricultrral Robotics Portal]; [http://www.harvestautomation.com/ Harvest Automation]; [http://www.roboticharvesting.com/index.html Robotic Harvesting]; [http://www.agrobot.es/ Agrobot]; [http://en.wikipedia.org/wiki/Agricultural_robot Wikipedial AgRobot Page]; [http://www.fieldrobot.dk/ FieldRobot.dk] ([http://www.fieldrobot.dk/pages/hortibot.php  Hortibot]);[http://www.fieldrobot.nl/ Ag FieldRobot Contest]; [http://www.hortibot.dk/index.html Hortibot];
 
* Mobile Robotics: [https://github.com/superrm11/MiniMcGeeV2 Swerve Steering Control Code]
 
* Mobile Robotics: [https://github.com/superrm11/MiniMcGeeV2 Swerve Steering Control Code]
 +
* '''Motion Planning:''' [https://towardsdatascience.com/automatic-parallel-parking-system-including-path-planning-path-tracking-and-parallel-parking-in-a-ece780b2e8e0k Python Nonholonomic planner]
  
 
==== Opensource ====
 
==== Opensource ====
 
* '''ROS:''' [http://www.ros.org/wiki/ ROS]; [http://www.ros.org/wiki/chomp_motion_planner ROS CHOMP Motion Planner];
 
* '''ROS:''' [http://www.ros.org/wiki/ ROS]; [http://www.ros.org/wiki/chomp_motion_planner ROS CHOMP Motion Planner];
 +
* [https://drake.mit.edu/ Drake Robot Modeling/Simulation];
 
* [http://slam6d.sourceforge.net 6D Slam@sourceforge]; [http://www.robots.ox.ac.uk/~mobile Fast Appearance Based mapping]; [http://www.chai3d.org Chai3D] (haptics); [http://www.kineocam.com/kitelab KiteLab]; [http://petercorke.com/Home.html Peter Corke\'s tool boxes]; [http://gatmo.org/ GATMO (moving object SLAM)]; [https://www.cs.drexel.edu/~kon/3DGSS/ 3D scale space];
 
* [http://slam6d.sourceforge.net 6D Slam@sourceforge]; [http://www.robots.ox.ac.uk/~mobile Fast Appearance Based mapping]; [http://www.chai3d.org Chai3D] (haptics); [http://www.kineocam.com/kitelab KiteLab]; [http://petercorke.com/Home.html Peter Corke\'s tool boxes]; [http://gatmo.org/ GATMO (moving object SLAM)]; [https://www.cs.drexel.edu/~kon/3DGSS/ 3D scale space];
 
* [http://openrave.programmingvision.com/index.php/Main_Page OpenRave] (main); [http://openrave.programmingvision.com/ordocs/en/html/index.html OpenRAVE]; [http://sourceforge.net/projects/opengrasp/ OpenGrasp];
 
* [http://openrave.programmingvision.com/index.php/Main_Page OpenRave] (main); [http://openrave.programmingvision.com/ordocs/en/html/index.html OpenRAVE]; [http://sourceforge.net/projects/opengrasp/ OpenGrasp];
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* [https://www.sparkfun.com/products/13332 Sparkfun 200 kg Load Cell]; [http://www.htc-sensor.com/index.html HTC Load Cells];  
 
* [https://www.sparkfun.com/products/13332 Sparkfun 200 kg Load Cell]; [http://www.htc-sensor.com/index.html HTC Load Cells];  
 
|
 
|
 +
=== Hands/Grippers ===
 +
* [https://stepbystep-robotics.com/hp/ Step-by-Step Robotics]; [https://www.youtube.com/watch?v=5eAivKiKadA Robotiq Tactile Sensors]
 +
* [https://www.youtube.com/watch?v=_erUF2E8oJQ BLT Gripper]
 +
 
=== Sensing ===
 
=== Sensing ===
 
* [http://velodynelidar.com/vlp-16.html  Velodyn Puck]
 
* [http://velodynelidar.com/vlp-16.html  Velodyn Puck]
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|
 
|
 
==== Tutorial Stuff ====
 
==== Tutorial Stuff ====
−
* [https://github.com/Nyandwi/machine_learning_complete GitHub repository on ML examples]
+
* [https://github.com/Nyandwi/machine_learning_complete GitHub repository on ML examples]; [https://medium.com/@vidhuran_07/machine-learning-models-and-their-assumptions-896951aa5a34 ML Models and their assumptions]
  
 
==== Deep Learning ====
 
==== Deep Learning ====
 +
* [https://medium.com/@KunalSavvy/deep-learning-with-pytorch-lightning-93ee925fc6b0 Deep Learning with PyTorch Lightening];
 
* [http://neuralnetworksanddeeplearning.com/ Neural Networks & Deep Learning]; [http://deeplearning.net/tutorial/lenet.html DeepLearnet.net];
 
* [http://neuralnetworksanddeeplearning.com/ Neural Networks & Deep Learning]; [http://deeplearning.net/tutorial/lenet.html DeepLearnet.net];
 
* [http://www.kdnuggets.com/2015/07/deep-learning-triumph-empiricism-over-theoretical-mathematical-guarantees.html Deep Learning Blog]; [http://timdettmers.com/2015/03/26/convolution-deep-learning/ Understanding Convolution in Deep Learning];
 
* [http://www.kdnuggets.com/2015/07/deep-learning-triumph-empiricism-over-theoretical-mathematical-guarantees.html Deep Learning Blog]; [http://timdettmers.com/2015/03/26/convolution-deep-learning/ Understanding Convolution in Deep Learning];
−
* [http://deeplearning.net/tutorial/deeplearning.pdf  Deep Learning Tutorial];
+
* [http://deeplearning.net/tutorial/deeplearning.pdf  Deep Learning Tutorial]; [https://cds.nyu.edu/deep-learning/ LeCunn NYU DL course];
 
* '''Convolution:''' [http://timdettmers.com/2015/03/26/convolution-deep-learning/ Understanding Convolution In Deep Learning]; [https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf Going Deeper with Convolutions/GoogLeNet]; [https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721#.k8qzvrmzv Deep Learning and Convolutional Nets]; [https://brohrer.github.io/how_convolutional_neural_networks_work.html How Do Convolutional Nets Work?]; [https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ Intuitive Explanation of Convolutional Neural Networks];
 
* '''Convolution:''' [http://timdettmers.com/2015/03/26/convolution-deep-learning/ Understanding Convolution In Deep Learning]; [https://www.cs.unc.edu/~wliu/papers/GoogLeNet.pdf Going Deeper with Convolutions/GoogLeNet]; [https://medium.com/@ageitgey/machine-learning-is-fun-part-3-deep-learning-and-convolutional-neural-networks-f40359318721#.k8qzvrmzv Deep Learning and Convolutional Nets]; [https://brohrer.github.io/how_convolutional_neural_networks_work.html How Do Convolutional Nets Work?]; [https://ujjwalkarn.me/2016/08/11/intuitive-explanation-convnets/ Intuitive Explanation of Convolutional Neural Networks];
 +
* [https://medium.com/@techynilesh/xgboost-algorithm-explained-in-less-than-5-minutes-b561dcc1ccee XGBoost];
 
* [https://cloud.google.com/vertex-ai Google Vertex AI];
 
* [https://cloud.google.com/vertex-ai Google Vertex AI];
 
* [https://manasraza.medium.com/resources-for-learning-graph-neural-networks-52961790ce7 Resources for Graph neural Networks]
 
* [https://manasraza.medium.com/resources-for-learning-graph-neural-networks-52961790ce7 Resources for Graph neural Networks]
 +
 +
==== Graph Neural Networks ====
 +
* [https://distill.pub/2021/gnn-intro/ Gentle Intro Graph Neural Nets];
  
 
==== Reinforcement Learning ====
 
==== Reinforcement Learning ====
−
* Scholarpedia page on [http://www.scholarpedia.org/article/Reinforcement_learning Reinforcement Learning]
+
* Scholarpedia page on [http://www.scholarpedia.org/article/Reinforcement_learning Reinforcement Learning]; [https://omscs.gatech.edu/cs-7642-reinforcement-learning GT RL];
 +
* [https://github.com/deepmind/open_spiel Open Spiel (multi-agent RL)]; [https://github.com/facebookresearch/nocturne Nocturne (Facebook Driving simulation)]; [https://github.com/cityflow-project/CityFlow/ CityFlow (city traffic environment)]; [https://cityflow.readthedocs.io/en/latest/ (CityFlow explanation)];
 +
 
 +
==== LSTM ====
 +
* [https://medium.com/analytics-vidhya/how-long-dependencies-can-lstm-t-cnn-really-remember-df3720dd4e4a LSTM and CNN memory]
 +
 
 +
==== AutoEncoders ====
 +
* [https://medium.com/@j.zh/mathematics-behind-variational-autoencoders-c69297301957 Math behind variational autoencoders]; [https://blog.devgenius.io/semi-supervised-learning-with-autoencoders-33f36305e816 Semi-Supervised Learning via Autoencoders]
 +
* [https://medium.com/@schatty/vae-careful-walkthrough-5d01e7dbf1ab Variational Autoencoder Walkthrough]
 +
 
 +
==== Gauusian Processes ====
 +
* [https://invenia.github.io/blog/2021/02/19/OILMM-pt1/ VectorValued GPs]; [https://distill.pub/2019/visual-exploration-gaussian-processes/ Visual Exploration GPs]
  
 
==== Semantic Segmentation ====
 
==== Semantic Segmentation ====
−
* [https://nanonets.com/blog/semantic-image-segmentation-2020/ 2021 Guide to Semantic Segmentation]; [https://www.jeremyjordan.me/semantic-segmentation/ Overview Semantic Segmentation]; [https://divamgupta.com/image-segmentation/2019/06/06/deep-learning-semantic-segmentation-keras.html Beginner's Guide Deep Learning for Semantic Segmentation];
+
* [https://nanonets.com/blog/semantic-image-segmentation-2020/ 2021 Guide to Semantic Segmentation]; [https://www.jeremyjordan.me/semantic-segmentation/ Overview Semantic Segmentation]; [https://divamgupta.com/image-segmentation/2019/06/06/deep-learning-semantic-segmentation-keras.html Beginner's Guide Deep Learning for Semantic Segmentation]; [https://medium.com/ching-i/image-segmentation-semantic-segmentation-1-eb727d2b132f Image Segmentation-Semantic Segmentation I]
 +
 
 +
==== Attention ====
 +
* [https://medium.com/@mlquest0/explained-reverse-attention-network-in-image-segmentation-baa6bdf08ac4 Reverse Attention Explained]; [https://medium.com/@geetkal67/attention-networks-a-simple-way-to-understand-cross-attention-3b396266d82e Cross Attention]; [https://medium.com/@mlquest0/axial-self-attention-in-cnn-efficient-and-elegant-85d8ce2ca8eb Axial Self-attention]
 +
 
 +
==== Causality ====
 +
* [https://towardsdatascience.com/a-6-minute-introduction-to-causal-ai-50d92ffb5e91 Causality Summary]; [https://medium.com/dataroots/next-best-action-recommendation-part-2-causal-inference-techniques-by-silke-plessers-sandy-aebf665850fd Causal Inference Techniques]
  
 
==== Depth Estimation ====
 
==== Depth Estimation ====
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==== Explainable AI ====
 
==== Explainable AI ====
 
* [https://christophm.github.io/interpretable-ml-book/ Explainable Machine Learning] (on-line book)
 
* [https://christophm.github.io/interpretable-ml-book/ Explainable Machine Learning] (on-line book)
−
* [https://hci.stanford.edu/courses/cs335/2020/sp/lec3.pdf On-line Lecture Fair AI]
+
* [https://hci.stanford.edu/courses/cs335/2020/sp/lec3.pdf On-line Lecture Fair AI]; [https://medium.com/geekculture/explainable-defect-detection-using-convolutional-neural-networks-case-study-2b58bc17c8b1 Explainable Defect Detection]
 
|
 
|
 +
 +
==== Chat-GPT ====
 +
* [https://medium.com/geekculture/5-chatgpt-features-to-boost-your-daily-work-404478fd70ca 5 Chat-GPT features]
 +
 +
==== Time Series ====
 +
* [https://jrodthoughts.medium.com/amazons-gluonts-is-a-deep-learning-framework-for-time-series-forecasting-364cc829c9df Gluon TS Deep Prediction]
 +
 +
==== Conformal Prediction/Regression/Anamoly ====
 +
* [https://github.com/yromano/cqr Conformalized QUantile Regression (GitHub)];[https://github.com/numenta/NAB/tree/master/nab/detectors/knncad Conformal Anamoly Detection (GitHub)]; [https://github.com/ryantibs/conformal/ Conformal Inference R Project]; [https://github.com/donlnz/nonconformist Nonconformist: Python CP];
 +
 +
* [https://mapie.readthedocs.io/en/latest/index.html  Mapie]; [https://towardsdatascience.com/conformal-prediction-in-julia-351b81309e30 Conformal Prediction in Julia]
 +
 +
* '''Tutorial:''' [https://medium.com/analytics-vidhya/a-guideline-to-conformal-prediction-7a392fc29bc1#:~:text=A%20conformity%20score(%E2%88%9D)%20is,is%20non%2Dconforming%20or%20strange. A Guideline to CP]; [https://medium.com/@jchen001/8-anomaly-detection-techniques-summary-comparison-and-code-83a25cc27c66 8 Anomaly Detection Methods]
 +
 +
==== Coding/Tools ====
 +
* [https://jonathan-guerne.medium.com/multi-objective-bayesian-optimization-with-botorch-3c5cf348c63b BoTorch Bayesian Optimization];
 +
* [https://towardsdatascience.com/20-of-numpy-functions-that-data-scientists-use-80-of-the-time-d8bd9c7d144b#6621 Numpy Functions Data Scientists Use]
 +
* [https://medium.com/@adam_carrigan/the-top-7-databases-for-machine-learning-3e9783684b92 7 databases for ML]; [https://medium.com/@giovanni.stephens/top-10-machine-learning-libraries-for-python-2022-4bdd7ed9b2aa 10 ML Python Libraries]
 +
* [https://medium.com/@srivas1432/top-15-python-ai-machine-learning-open-source-projects-604d4726b620 15 Python AI & ML projects]
  
 
==== Optimization/Active Learning ====
 
==== Optimization/Active Learning ====
 
* [https://ax.dev/ Ax Adaptive Experimentation Code]
 
* [https://ax.dev/ Ax Adaptive Experimentation Code]
 +
 
==== Bandits ====
 
==== Bandits ====
 
* [http://videolectures.net/pcw06_bianchi_mabp/?q=bandit Cesa-Bianchi Bandit Lecture]; [http://videolectures.net/lsoldm2012_cesa_bianchi_bandit_results/?q=bandit Cesa-Bianchi Recent Results Lecture]; [http://videolectures.net/ecmlpkdd2010_lugosi_abp/?q=bandit Lugosi Lecture on Adversarial Bandits]
 
* [http://videolectures.net/pcw06_bianchi_mabp/?q=bandit Cesa-Bianchi Bandit Lecture]; [http://videolectures.net/lsoldm2012_cesa_bianchi_bandit_results/?q=bandit Cesa-Bianchi Recent Results Lecture]; [http://videolectures.net/ecmlpkdd2010_lugosi_abp/?q=bandit Lugosi Lecture on Adversarial Bandits]
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==== Tensor methods ====
 
==== Tensor methods ====
 
* [http://www.caam.rice.edu/~optimization/bcu/ncp/index.html Block Coordinate Update Code]
 
* [http://www.caam.rice.edu/~optimization/bcu/ncp/index.html Block Coordinate Update Code]
 +
 +
==== Paper Source ====
 +
* [https://medium.com/mlearning-ai/websites-where-you-can-find-popular-ml-dl-research-papers-dcf075af4cbb 10 best sources of AI papers]
  
 
==== Public Domain Codes ====
 
==== Public Domain Codes ====
 +
* [https://medium.com/@giovanni.stephens/top-10-machine-learning-libraries-for-python-2022-4bdd7ed9b2aa Top Ten Machine Learning Python Libraries]
 
* [https://carto.com/torque/ Torque.JS]
 
* [https://carto.com/torque/ Torque.JS]
 
* [https://github.com/zhongkaifu/Seq2SeqSharp Seq2SeqSharp] (Seq2Seq implementation)
 
* [https://github.com/zhongkaifu/Seq2SeqSharp Seq2SeqSharp] (Seq2Seq implementation)
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|- valign=top
 
|- valign=top
 
|
 
|
 +
==== Voronoi Diagrams ====
 +
* [https://towardsdatascience.com/the-fascinating-world-of-voronoi-diagrams-da8fc700fa1b Towards Data Sci. article on Voronoi Diagrams]
 +
 
==== On-Line Demonstrations ====
 
==== On-Line Demonstrations ====
 
* [http://www.cs.wustl.edu/~suri/cs506/projects/sp.html Shortest Path in a Polygon]
 
* [http://www.cs.wustl.edu/~suri/cs506/projects/sp.html Shortest Path in a Polygon]
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* [http://www.dagstuhl.de/ Shloss Dagstuhul] (Liebniz Center for INformatics--Seminar Program);
 
* [http://www.dagstuhl.de/ Shloss Dagstuhul] (Liebniz Center for INformatics--Seminar Program);
 
==== Vision/Graphics ====
 
==== Vision/Graphics ====
 +
* [https://moez-62905.medium.com/top-python-libraries-for-computer-vision-in-2022-9ff1bdb1bca2 Python Libraries for Computer Vision];
 +
* '''U-Net:''' [https://medium.com/@mlquest0/unet-clearly-explained-a-better-image-segmentation-architecture-f48661c92df9 U-Net ++]; [https://solomon-ai.medium.com/image-segmentation-for-self-driving-car-using-unet-canet-72eab7d424c8 U-NET/CatNet]; [https://medium.com/@mlquest0/transunet-no-more-cnns-for-image-segmentation-278e85c81914 TransUNet]
 +
* [https://medium.com/mlearning-ai/various-computer-vision-architectures-whats-the-difference-db123df23865 Various Vision Architectures]; [https://idiotdeveloper.com/what-is-resunet/ RESUNET]
 
* '''OpenCV:''' [http://sourceforge.net/projects/opencvlibrary/ SourceForge]; [http://opencv.willowgarage.com/wiki/ Docs Wiki]; [http://tech.groups.yahoo.com/group/OpenCV/ Yahoo Forum];
 
* '''OpenCV:''' [http://sourceforge.net/projects/opencvlibrary/ SourceForge]; [http://opencv.willowgarage.com/wiki/ Docs Wiki]; [http://tech.groups.yahoo.com/group/OpenCV/ Yahoo Forum];
 
* '''Chan-Vese:''' [http://sites.google.com/site/rexstribeofimageprocessing/chan-vese-active-contours MATLAB implementation]; [http://www.mathworks.com/matlabcentral/fileexchange/24998-2d3d-image-segmentation-toolbox 2D/3D Image Segmentation];
 
* '''Chan-Vese:''' [http://sites.google.com/site/rexstribeofimageprocessing/chan-vese-active-contours MATLAB implementation]; [http://www.mathworks.com/matlabcentral/fileexchange/24998-2d3d-image-segmentation-toolbox 2D/3D Image Segmentation];
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** '''MeshRoom:''' [https://alicevision.org/#meshroom MeshRoom]; [https://alicevision.org/ Alice Vision Framework]; [https://just-merwan.medium.com/photogrammetry-and-meshroom-how-to-generate-3d-models-from-2d-images-fe49b01cab9a MeshRoom Overview on Medium]
 
** '''MeshRoom:''' [https://alicevision.org/#meshroom MeshRoom]; [https://alicevision.org/ Alice Vision Framework]; [https://just-merwan.medium.com/photogrammetry-and-meshroom-how-to-generate-3d-models-from-2d-images-fe49b01cab9a MeshRoom Overview on Medium]
 
** [https://all3dp.com/1/best-photogrammetry-software/#colmap All3DP];
 
** [https://all3dp.com/1/best-photogrammetry-software/#colmap All3DP];
−
* '''Segmentation:''' [https://medium.com/@harikiranmudipalli/attention-based-semantic-segmentation-8549dcc4c9d3 Attention Based Segmantic Segmentation]
+
* '''Segmentation:''' [https://medium.com/@harikiranmudipalli/attention-based-semantic-segmentation-8549dcc4c9d3 Attention Based Segmantic Segmentation]; [https://sh-tsang.medium.com/review-panoptic-segmentation-8de88b12ca52 panoptic segmentation]
 +
* '''Object Detection:''' [https://medium.com/mlearning-ai/the-best-object-detection-libraries-that-i-work-with-835428a1e01e Best Object Detection Libraries]
 
* '''Monocular:''' [https://medium.com/toyotaresearch/monocular-depth-in-the-real-world-99c2b287df34 Monocular Depth in Real World]
 
* '''Monocular:''' [https://medium.com/toyotaresearch/monocular-depth-in-the-real-world-99c2b287df34 Monocular Depth in Real World]
  
−
==== Kinect 3D Sensor ====
+
==== Kinect 3D Sensor and Point Data ====
 
* '''Kinect 3d Hacks:''' [http://kinect.dashhacks.com/ DashHacks]; [http://www.roboticstrends.com/design_development/article/kinect_sdk_beta_release_pushes_microsoft_back_into_robotics Info on MS SDK for Kinect]; [http://research.microsoft.com/en-us/um/redmond/projects/kinectsdk/default.aspx MS SDK]; [http://www.ros.org/wiki/kinect_calibration/technical Kinect Calibration Wiki@Ros];[http://www.youtube.com/user/okreylos YouTube Videos of Oliver Kreylos]; [http://idav.ucdavis.edu/~okreylos/ResDev/Kinect/ O. KReylos Software Page]; [http://www.youtube.com/watch?v=eWmVrfjDCyw&feature=related Quadrotor using Kinect]; [http://nuigroup.com/forums/viewthread/11249/#cl Kinect Driver & Nui Control]; [http://openkinect.org/wiki/Main_Page OpenKinect.Org]; [http://www.theinstitute.ieee.org/portal/site/tionline/menuitem.130a3558587d56e8fb2275875bac26c8/index.jsp?&pName=institute_level1_article&TheCat=2201&article=tionline/legacy/inst2011/jan11/featuretech.xml& Story behind Kinect3D]; [http://www.brekel.com/ Brekel Kinect];\n* [http://research.microsoft.com/apps/pubs/default.aspx?id=155416 KinectFusion];\n* [http://www.matherix.com/homepage.html Matherix] (3D model reconstruction);
 
* '''Kinect 3d Hacks:''' [http://kinect.dashhacks.com/ DashHacks]; [http://www.roboticstrends.com/design_development/article/kinect_sdk_beta_release_pushes_microsoft_back_into_robotics Info on MS SDK for Kinect]; [http://research.microsoft.com/en-us/um/redmond/projects/kinectsdk/default.aspx MS SDK]; [http://www.ros.org/wiki/kinect_calibration/technical Kinect Calibration Wiki@Ros];[http://www.youtube.com/user/okreylos YouTube Videos of Oliver Kreylos]; [http://idav.ucdavis.edu/~okreylos/ResDev/Kinect/ O. KReylos Software Page]; [http://www.youtube.com/watch?v=eWmVrfjDCyw&feature=related Quadrotor using Kinect]; [http://nuigroup.com/forums/viewthread/11249/#cl Kinect Driver & Nui Control]; [http://openkinect.org/wiki/Main_Page OpenKinect.Org]; [http://www.theinstitute.ieee.org/portal/site/tionline/menuitem.130a3558587d56e8fb2275875bac26c8/index.jsp?&pName=institute_level1_article&TheCat=2201&article=tionline/legacy/inst2011/jan11/featuretech.xml& Story behind Kinect3D]; [http://www.brekel.com/ Brekel Kinect];\n* [http://research.microsoft.com/apps/pubs/default.aspx?id=155416 KinectFusion];\n* [http://www.matherix.com/homepage.html Matherix] (3D model reconstruction);
 +
 +
* [https://medium.com/deem-blogs/speaking-code-pointnet-65b0a8ddb63f Article on PointNet]; [https://medium.com/deem-blogs/speaking-code-pointnet-6bc1a7c97986 PointNet ++]; [https://medium.com/@mohit_gaikwad/deepfusion-lidar-camera-deep-fusion-for-multi-modal-3d-object-detection-c7db1e25670d DeepFusion Lidar/Camera]; [https://github.com/Xharlie/pointnerf PointNerf];
 +
 +
* [https://medium.com/@kidargueta/installing-open3d-ml-for-3d-computer-vision-with-pytorch-d640a6862e19 Open3D-ML]
  
 
==== Spectral Graph Theory ====
 
==== Spectral Graph Theory ====
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* '''Tutorials:''' [http://agbs.kyb.tuebingen.mpg.de/wikis/icmltutorial/FrontPage ICML 2008: Sparse Linear Models: Bayesian Learning & Experimental Design]; [http://user.cs.tu-berlin.de/~mtoussai/08-optimal-control/ Stochastic Optimal Control]; [http://www.select.cs.cmu.edu/tutorials/icml08submodularity.html Submodularity in Machine Learning]; [http://www.cse.ohio-state.edu/mlss09/ Machine Learning Workshop 2009]; [http://www.autonlab.org/tutorials/index.html Andrew Moore\'s Data Mining Tutorials];
 
* '''Tutorials:''' [http://agbs.kyb.tuebingen.mpg.de/wikis/icmltutorial/FrontPage ICML 2008: Sparse Linear Models: Bayesian Learning & Experimental Design]; [http://user.cs.tu-berlin.de/~mtoussai/08-optimal-control/ Stochastic Optimal Control]; [http://www.select.cs.cmu.edu/tutorials/icml08submodularity.html Submodularity in Machine Learning]; [http://www.cse.ohio-state.edu/mlss09/ Machine Learning Workshop 2009]; [http://www.autonlab.org/tutorials/index.html Andrew Moore\'s Data Mining Tutorials];
 
* '''On-Line Course Material:''' [http://www.cs.caltech.edu/courses/cs101.2/ Caltech CS 101.2] (Active Learning); [http://www.math.duke.edu/~mauro/DynProgRL.html Maggioni MDP Page]; [http://www.stat.duke.edu/~banks/218-lectures.dir/ Duke Data Mining Course]; [http://www.cs.toronto.edu/~sheila/2542/f10/log.html Course on Automated Planning & Reasoning]; [http://hebb.mit.edu/courses/9.641/lectures/ MIT Neural Networks];\n* [http://www.pybrain.org Pybrain]; [http://www.autonlab.org/autonweb/library/papers.html AutonLab@CMU];\n* [http://www.youtube.com/watch?v=FO0fgVS9OmE GoogleTalk Bayesian Nonparametrics];
 
* '''On-Line Course Material:''' [http://www.cs.caltech.edu/courses/cs101.2/ Caltech CS 101.2] (Active Learning); [http://www.math.duke.edu/~mauro/DynProgRL.html Maggioni MDP Page]; [http://www.stat.duke.edu/~banks/218-lectures.dir/ Duke Data Mining Course]; [http://www.cs.toronto.edu/~sheila/2542/f10/log.html Course on Automated Planning & Reasoning]; [http://hebb.mit.edu/courses/9.641/lectures/ MIT Neural Networks];\n* [http://www.pybrain.org Pybrain]; [http://www.autonlab.org/autonweb/library/papers.html AutonLab@CMU];\n* [http://www.youtube.com/watch?v=FO0fgVS9OmE GoogleTalk Bayesian Nonparametrics];
 +
* '''Transformers:''' [https://medium.com/geekculture/different-transformer-models-f6f405999e4a Different Transformer Models];
 
* [http://www.cs.ucla.edu/~jenn/courses/F10/material/notes_1025.pdf Notes on Regret];
 
* [http://www.cs.ucla.edu/~jenn/courses/F10/material/notes_1025.pdf Notes on Regret];
 
* '''People:''' [http://www.cse.ohio-state.edu/~mbelkin/papers/papers.html Mikhail Belkin]; [http://www.glennshafer.com/ Glenn Shafer]; [http://www.hutter1.net/ Marcus Hutter@ANU]; [http://newport.eecs.uci.edu/anandkumar/ A. Anandkumar, UCI]
 
* '''People:''' [http://www.cse.ohio-state.edu/~mbelkin/papers/papers.html Mikhail Belkin]; [http://www.glennshafer.com/ Glenn Shafer]; [http://www.hutter1.net/ Marcus Hutter@ANU]; [http://newport.eecs.uci.edu/anandkumar/ A. Anandkumar, UCI]
Line 540: Line 604:
 
* '''YouTube Neuroanatomy Videos:''' [http://www.youtube.com/watch?v=9BaWBGRVxp8&feature=related CorticoSpinal Tract]; [http://www.youtube.com/watch?v=Ulwydmt4igA&feature=related Dorsal Column, Lemniscus]; [http://www.youtube.com/watch?v=J-8sE6RWO1w&feature=related Dr. Najeeb--Ascending Tracts];\n* '''On-Line Atlases, Tutorials:''' [http://iomstudy.com/examination.htm On-line Medical Notes on NeuroAnatomy]; [http://163.178.103.176/Temas/Temab2N/APortal/FisoNerCG/FisoNerOb5/MotorMB/MOTOR.html Motor System Neurophysiology]; [http://users.umassmed.edu/charlene.baron/pdfs/SpinalCordA_Atlas08oe.pdf Umass Spinal Atlas]; [http://neuroscience.uth.tmc.edu/s2/chapter03.html Spinal Cord Anatomy];
 
* '''YouTube Neuroanatomy Videos:''' [http://www.youtube.com/watch?v=9BaWBGRVxp8&feature=related CorticoSpinal Tract]; [http://www.youtube.com/watch?v=Ulwydmt4igA&feature=related Dorsal Column, Lemniscus]; [http://www.youtube.com/watch?v=J-8sE6RWO1w&feature=related Dr. Najeeb--Ascending Tracts];\n* '''On-Line Atlases, Tutorials:''' [http://iomstudy.com/examination.htm On-line Medical Notes on NeuroAnatomy]; [http://163.178.103.176/Temas/Temab2N/APortal/FisoNerCG/FisoNerOb5/MotorMB/MOTOR.html Motor System Neurophysiology]; [http://users.umassmed.edu/charlene.baron/pdfs/SpinalCordA_Atlas08oe.pdf Umass Spinal Atlas]; [http://neuroscience.uth.tmc.edu/s2/chapter03.html Spinal Cord Anatomy];
 
* Quanta Magazine article on [https://www.quantamagazine.org/20160406-brain-maps-micron-program-iarpa/ Mapping the Brain to Build Better Machines]
 
* Quanta Magazine article on [https://www.quantamagazine.org/20160406-brain-maps-micron-program-iarpa/ Mapping the Brain to Build Better Machines]
 +
* [https://www.youtube.com/watch?v=tfifTUYuAYU Synaptic Plasticity Video]
  
 
==== Prosthetics ====
 
==== Prosthetics ====
Line 578: Line 643:
 
==== Wrought Iron Parts ====
 
==== Wrought Iron Parts ====
 
* [http://www.kingmetals.com/ King Architectural Metals]; [https://www.jansensupply.com/ Jansen Ornamental Supply][http://www.decorativeiron.com/ Decorative Iron]; [http://www.maidensofiron.com/ Maidens of Iron]; [https://www.archirondesign.com/Architectural Iron Designs]; [http://customironworks.com/ Custom Iron Works]; [http://www.wroughtironconcepts.com/ WroughtIronConcepts]; [http://www.delphiglass.com/display-stands/garden-displays/19-wrought-iron-table-legs Delphi Glass Table Legs]; [http://www.tablelegs.com/Legs/EndTableLegs.aspx TableLegs.com];
 
* [http://www.kingmetals.com/ King Architectural Metals]; [https://www.jansensupply.com/ Jansen Ornamental Supply][http://www.decorativeiron.com/ Decorative Iron]; [http://www.maidensofiron.com/ Maidens of Iron]; [https://www.archirondesign.com/Architectural Iron Designs]; [http://customironworks.com/ Custom Iron Works]; [http://www.wroughtironconcepts.com/ WroughtIronConcepts]; [http://www.delphiglass.com/display-stands/garden-displays/19-wrought-iron-table-legs Delphi Glass Table Legs]; [http://www.tablelegs.com/Legs/EndTableLegs.aspx TableLegs.com];
−
 
−
==== Wood Items ====
 
−
* [http://www.vandykes.com/category.aspx?c=14&filter=100000001313eq100000007068&gclid=CMiS7trh3awCFYhdTAodkHx-_w Van Dykes]; [http://www.invitinghome.com/Corbels/OW_Corbels_List1.htm?gclid=CO3Lvdzh3awCFSOMtgodPFhHqQ Inviting Home]; [http://www.reforestteak.com/ Teak Supplier];
 
−
* [http://www.am-wood.com/finishes/french.html French Polishing]; [http://www.woodfinishsupply.com/GuideToFrenchPolishing.pdf Guide to French Polishing];  [http://www.refinishfurniture.com/french_polish.htm Art of French Polish];
 
  
 
==== Misc. Personal ====
 
==== Misc. Personal ====
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==== Local Attractions/Info ====
 
==== Local Attractions/Info ====
−
* [http://hometown-pasadena.com/ HomeTown Pasadena]; [http://www.currentla.org/ Current LA]; [https://www.timeout.com/los-angeles/food-drink/626-night-market-1 626 Night Market Info]; [http://www.oldpasadena.org/summercinema/ Old Town Cinema]; [http://www.japanesegardenpasadena.com/index.html Storier-Stearns Japanese Garden];  
+
* [http://www.currentla.org/ Current LA]; [https://www.timeout.com/los-angeles/food-drink/626-night-market-1 626 Night Market Info];[http://www.japanesegardenpasadena.com/index.html Storier-Stearns Japanese Garden];  
  
−
* '''Local News:''' [http://www.pasadenastarnews.com/ Pasadena Star News]; [http://www.pasadenaweekly.com/ Pasadena Weekly]; [http://www.sgvtribune.com/ San Gabriel Valley News]; [http://www.dailynews.com/ LA Daily News]; [http://www.pcccourier.com/ PCC Courier]; [http://altadena.patch.com/ Altadena Patch]; [http://www.pasadenastarnews.com/rss/ci_16576914?source=rss Star-News: Events Calendar]; [
+
* '''Local News:''' [http://www.pasadenastarnews.com/ Pasadena Star News]; [http://www.pasadenaweekly.com/ Pasadena Weekly]; [http://www.sgvtribune.com/ San Gabriel Valley News]; [http://www.dailynews.com/ LA Daily News]; [http://www.pcccourier.com/ PCC Courier]; [http://altadena.patch.com/ Altadena Patch];  
 
* [http://en.wikipedia.org/wiki/List_of_museums_in_California List of California Museums];
 
* [http://en.wikipedia.org/wiki/List_of_museums_in_California List of California Museums];
 
* '''Art Galleries:''' [http://www.artslant.com/la/main ArtSlant L.A.]; [http://www.gabrie.com/ Galerie Gabrie]; [http://www.fremontgallery.com/ Fremont Gallery]; [http://americanlegacyfinearts.com/ American Legacy Galleries]; [http://www.segilfineart.com/ Segal Fine Art ] (Monrovia); [http://www.tirageart.com/ Tirage Art]; [http://www.old-mill.org/index.asp San Marino Old Mill]; [http://www.williamsongallery.net/ Williamson Gallery @Art Center]; [http://www.californiaartclub.org/ California Art Club]; [http://altadenaartscouncil.org/default.aspx Altadena Arts Council];
 
* '''Art Galleries:''' [http://www.artslant.com/la/main ArtSlant L.A.]; [http://www.gabrie.com/ Galerie Gabrie]; [http://www.fremontgallery.com/ Fremont Gallery]; [http://americanlegacyfinearts.com/ American Legacy Galleries]; [http://www.segilfineart.com/ Segal Fine Art ] (Monrovia); [http://www.tirageart.com/ Tirage Art]; [http://www.old-mill.org/index.asp San Marino Old Mill]; [http://www.williamsongallery.net/ Williamson Gallery @Art Center]; [http://www.californiaartclub.org/ California Art Club]; [http://altadenaartscouncil.org/default.aspx Altadena Arts Council];
−
* '''Venues:''' [http://sierramadreplayhouse.org/ Sierra Madre Playhouse]; [http://www.musiccenter.org/events/worldcity.html WorldCity@MusicCenter];  
+
* '''Venues:''' [http://sierramadreplayhouse.org/ Sierra Madre Playhouse];  
 
* [https://www.lamag.com/culturefiles/heres-find-natural-hot-springs-around-southern-california/ LA Mag hot Spring];  [http://www.hotwaterslaughter.com/category/hotsprings/california Hot Water Slaughter]; [http://www.hotspringsdirectory.com/usa/ca/gps-usa-ca.html Spring GPS Coord.s]; [http://hotspringadventures.com/ Hot Spring Adventures]
 
* [https://www.lamag.com/culturefiles/heres-find-natural-hot-springs-around-southern-california/ LA Mag hot Spring];  [http://www.hotwaterslaughter.com/category/hotsprings/california Hot Water Slaughter]; [http://www.hotspringsdirectory.com/usa/ca/gps-usa-ca.html Spring GPS Coord.s]; [http://hotspringadventures.com/ Hot Spring Adventures]
−
|
 
  
 
==== Lathes/Rebuild ====
 
==== Lathes/Rebuild ====
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* [http://www.instructables.com/id/Electrolytic-Rust-Removal-aka-Magic/ Electrolytic Rust Removal]; [http://video.google.com/videosearch?client=safari&rls=en-us&q=rust+removal&oe=UTF-8&um=1&ie=UTF-8&ei=G5PkSc7BMJzmsgOEsoivCQ&sa=X&oi=video_result_group&resnum=4&ct=title# Rust Removal Videos]; [http://www.rickswoodshopcreations.com/Miscellaneous/Rust_Removal.htm Electrolysis Rust Removal];
 
* [http://www.instructables.com/id/Electrolytic-Rust-Removal-aka-Magic/ Electrolytic Rust Removal]; [http://video.google.com/videosearch?client=safari&rls=en-us&q=rust+removal&oe=UTF-8&um=1&ie=UTF-8&ei=G5PkSc7BMJzmsgOEsoivCQ&sa=X&oi=video_result_group&resnum=4&ct=title# Rust Removal Videos]; [http://www.rickswoodshopcreations.com/Miscellaneous/Rust_Removal.htm Electrolysis Rust Removal];
  
−
==== Misc. ====
+
==== Chipper/Shredder ====
−
* [https://www.pinterest.com/explore/industrial-robots/?lp=true Pinterest Page on Robot Arm Design]
+
* [https://www.ebay.com/sch/42228/i.html?_ssn=vehiclejunkies&store_name=vehiclejunkies&_dmd=2&_oac=1 Vehicle Junkies Ebay]; [https://www.amazon.com/Landworks-Shredder-Certified-Prevention-Firebreak/dp/B07WJ2B88J?dchild=1&keywords=Landworks+Mini+Compact+Chipper+Shredder+Mulcher&qid=1608004666&sr=8-3&linkCode=sl1&tag=43-aihs-20&linkId=e043d4685192ebf4dd4bf9b396f9f164&language=en_US&ref_=as_li_ss_tl LandWorks Mini Chipper]' [https://www.google.com/shopping/product/9393371052642472253?q=chipper+shredder&rlz=1C1RXQR_enUS1002US1002&sxsrf=ALiCzsbWaMXLrkQ6gF5cx9TsRhD8z7zb-g:1660506941026&biw=1378&bih=822&dpr=2.5&prds=eto:1726837325100256110_0,pid:4568101035585093535,rsk:PC_15317651156252993164&sa=X&ved=0ahUKEwjwvb7Ejsf5AhVMC0QIHYkVA_4Q8wII8Aw Champion 3 inch Chipper];
−
 
+
* [https://www.amazon.com/dp/B07N137XQN?tag=track-ect-usa-1189084-20&linkCode=osi&th=1  SuperHandy Chipper/Shredder/Mulcher]; [https://www.homedepot.com/p/Brush-Master-3-in-11-HP-270cc-Gas-Powered-Self-Feed-Chipper-Shredder-with-Unique-Innovation-3-in-1-Discharge-Safety-Goggles-CH8M21/316465452 Brush Master 3 inch]
−
* [http://repository.tudelft.nl/file/204169/173168 Assembly Thesis];
+
|
−
 
+
−
* '''MF Global:''' [http://www.zerohedge.com/contributed/customer-and-creditors-guide-mf-global-bankruptcy-background-what-needs-be-done-pronto Creditor Guide]; [http://www.zerohedge.com/news/exhibit-mf-globals-admission SEC supervisor info]; [http://www.zerohedge.com/contributed/commodity-customer-coalition-objects-jp-morgans-super-priority-protection-over-mf-global JPM Priority]; [http://dm.epiq11.com/MFG/Project/default.aspx MF GLobal Trustee]; [http://www.rjobrien.com/mfglobal/ RJ Obrien]; [http://www.commoditycustomercoalition.org/ Commodity Customer Coalition] (CCC); [http://jessescrossroadscafe.blogspot.com/2011/11/update-on-mf-global-interview-with.html Update from CCC];
+
−
 
+
−
* [http://www.fusor.net Fusor.net]
+
  
 
==== Walking Frame Ideas ====
 
==== Walking Frame Ideas ====
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=== WeighCam ===
 
=== WeighCam ===
 +
 +
==== Electronic Stuff ====
 
* '''IMU/Accelerometer:''' [https://global.epson.com/newsroom/2018/news_20180403.html Epson IMUs]; [https://v1.cecdn.yun300.cn/site_1711280011%2FMSM_IMU_SHM_E20180509A41543211473719.pdf Epson IMU overview]
 
* '''IMU/Accelerometer:''' [https://global.epson.com/newsroom/2018/news_20180403.html Epson IMUs]; [https://v1.cecdn.yun300.cn/site_1711280011%2FMSM_IMU_SHM_E20180509A41543211473719.pdf Epson IMU overview]
 
** [https://www.amazon.com/dp/B07G21XRV6/ref=sspa_dk_detail_2?psc=1&pd_rd_i=B07G21XRV6&pd_rd_w=U7dbN&content-id=amzn1.sym.999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_p=999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_r=J1RJA9S777H7YCEJHWH5&pd_rd_wg=eoDle&pd_rd_r=5b1aff9c-71e7-4207-a3b8-1d73ba52357d&s=industrial&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUEyTTRSN1FaNFNYNFcyJmVuY3J5cHRlZElkPUEwMTU0MzA5MlIyT1c5OEFWNkpQRiZlbmNyeXB0ZWRBZElkPUEwNDc5OTY5MjNRUUtNQzhJWEpIWSZ3aWRnZXROYW1lPXNwX2RldGFpbCZhY3Rpb249Y2xpY2tSZWRpcmVjdCZkb05vdExvZ0NsaWNrPXRydWU= Accelerometer/Inclinometer]
 
** [https://www.amazon.com/dp/B07G21XRV6/ref=sspa_dk_detail_2?psc=1&pd_rd_i=B07G21XRV6&pd_rd_w=U7dbN&content-id=amzn1.sym.999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_p=999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_r=J1RJA9S777H7YCEJHWH5&pd_rd_wg=eoDle&pd_rd_r=5b1aff9c-71e7-4207-a3b8-1d73ba52357d&s=industrial&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUEyTTRSN1FaNFNYNFcyJmVuY3J5cHRlZElkPUEwMTU0MzA5MlIyT1c5OEFWNkpQRiZlbmNyeXB0ZWRBZElkPUEwNDc5OTY5MjNRUUtNQzhJWEpIWSZ3aWRnZXROYW1lPXNwX2RldGFpbCZhY3Rpb249Y2xpY2tSZWRpcmVjdCZkb05vdExvZ0NsaWNrPXRydWU= Accelerometer/Inclinometer]
  
 
* '''Servo Interface Boards:''' [https://www.amazon.com/MakerFocus-Resolution-Interface-Compatible-Raspberry/dp/B07H9ZTWNC/ref=pd_pb_int_sa_ss_sccl_3_4/139-1231319-5018525?pd_rd_w=tFJdN&content-id=amzn1.sym.6dfd5cea-89ba-4bd7-9de7-2ba255c88c0f&pf_rd_p=6dfd5cea-89ba-4bd7-9de7-2ba255c88c0f&pf_rd_r=E7YYGG31TMGGHNCEBVE2&pd_rd_wg=RRsHp&pd_rd_r=58473be7-afec-4680-b1b3-4e46db3ecb07&pd_rd_i=B07H9ZTWNC&psc=1 RaspPi 16 channel servo interface]; [https://www.adafruit.com/product/2327 AdaFruit 16 channel servo interface];  [https://www.adafruit.com/product/4280?gclid=CjwKCAjwnZaVBhA6EiwAVVyv9Mcz8KMYvWvHRDa69JsNa0HN-4unQ-L5UsywyD6LlailDYODn7bYJxoCTGwQAvD_BwE AdaFruit DC/Stepper interface board];
 
* '''Servo Interface Boards:''' [https://www.amazon.com/MakerFocus-Resolution-Interface-Compatible-Raspberry/dp/B07H9ZTWNC/ref=pd_pb_int_sa_ss_sccl_3_4/139-1231319-5018525?pd_rd_w=tFJdN&content-id=amzn1.sym.6dfd5cea-89ba-4bd7-9de7-2ba255c88c0f&pf_rd_p=6dfd5cea-89ba-4bd7-9de7-2ba255c88c0f&pf_rd_r=E7YYGG31TMGGHNCEBVE2&pd_rd_wg=RRsHp&pd_rd_r=58473be7-afec-4680-b1b3-4e46db3ecb07&pd_rd_i=B07H9ZTWNC&psc=1 RaspPi 16 channel servo interface]; [https://www.adafruit.com/product/2327 AdaFruit 16 channel servo interface];  [https://www.adafruit.com/product/4280?gclid=CjwKCAjwnZaVBhA6EiwAVVyv9Mcz8KMYvWvHRDa69JsNa0HN-4unQ-L5UsywyD6LlailDYODn7bYJxoCTGwQAvD_BwE AdaFruit DC/Stepper interface board];
−
* [https://howchoo.com/g/mjg5ytzmnjh/controlling-dc-motors-using-your-raspberry-pi  HowChoo tutorial on RaspPi motor control]; [https://learn.adafruit.com/adafruit-raspberry-pi-lesson-9-controlling-a-dc-motor AdaFruit tutorial on RaspPi motor control]
+
 
 +
* '''RaspPi Stuff:'''
 +
** [https://www.amazon.com/MakerHawk-Raspberry-Uninterruptible-Management-Expansion/dp/B082CVWH3R/ref=asc_df_B082CVWH3R/?tag=&linkCode=df0&hvadid=416926807659&hvpos=&hvnetw=g&hvrand=10113905645484682484&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031117&hvtargid=pla-872104789898&ref=&adgrpid=92859401246&th=1 18650 UPS]; [https://www.amazon.com/dp/B09NKFYHVK/ref=sspa_dk_detail_1?psc=1&pd_rd_i=B09NKFYHVK&pd_rd_w=uUCZP&content-id=amzn1.sym.999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_p=999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_r=2RMJ4QKEN8GN9Z3DWZD6&pd_rd_wg=BoXCo&pd_rd_r=330ae13a-f8fb-47b1-a461-381367509828&s=electronics&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUExNVRJSE5DWUxKVDk3JmVuY3J5cHRlZElkPUEwODg5MTcxM01IU08xWk1ZUExWJmVuY3J5cHRlZEFkSWQ9QTA1NjU3NDIxOFFYTUFPR05KRURHJndpZGdldE5hbWU9c3BfZGV0YWlsJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ== GeeekPi 18650 UPS]; [https://www.amazon.com/dp/B07Y213F8S/ref=sspa_dk_detail_3?psc=1&pd_rd_i=B07Y213F8S&pd_rd_w=uUCZP&content-id=amzn1.sym.999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_p=999c0877-3704-4f0f-9726-eebf80846a35&pf_rd_r=2RMJ4QKEN8GN9Z3DWZD6&pd_rd_wg=BoXCo&pd_rd_r=330ae13a-f8fb-47b1-a461-381367509828&s=electronics&spLa=ZW5jcnlwdGVkUXVhbGlmaWVyPUExNVRJSE5DWUxKVDk3JmVuY3J5cHRlZElkPUEwODg5MTcxM01IU08xWk1ZUExWJmVuY3J5cHRlZEFkSWQ9QTA4NjEwNjkxWUNKSFRUOEU3UkFNJndpZGdldE5hbWU9c3BfZGV0YWlsJmFjdGlvbj1jbGlja1JlZGlyZWN0JmRvTm90TG9nQ2xpY2s9dHJ1ZQ== MakerFocus 10AH UPS]
 +
** [https://howchoo.com/g/mjg5ytzmnjh/controlling-dc-motors-using-your-raspberry-pi  HowChoo tutorial on RaspPi motor control]; [https://learn.adafruit.com/adafruit-raspberry-pi-lesson-9-controlling-a-dc-motor AdaFruit tutorial on RaspPi motor control]
 +
** '''Stepper Control:''' [https://raspberryautomation.com/control-a-steppermotor-with-a-raspberry-pi/ Control Stepper with RPi]; [https://www.adafruit.com/product/2348 AdaFruit Stepper/CD hat];
 +
** '''Server Interface:''' [https://www.adafruit.com/product/2327 AdaFruit Servo RPi hat]
 +
** '''Temp Interface:''' [https://raspberryautomation.com/connect-multiple-ds18b20-temperature-sensors-to-a-raspberry-pi/ Connect Multiple DS18820 Temp Probes]; [https://singleboardbytes.com/1019/enable-1-wire-interface-raspberry-pi.htm Enable 1-wire interface];
 +
** '''CanBus:''' [https://www.amazon.com/RS485-CAN-HAT-Long-Distance-Communication/dp/B07VMB1ZKH/ref=asc_df_B07VMB1ZKH/?tag=hyprod-20&linkCode=df0&hvadid=524643816709&hvpos=&hvnetw=g&hvrand=11326010050817182323&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031117&hvtargid=pla-1225123461783&psc=1 RPi CanBus hat]
 +
** '''I/O:''' [https://medium.com/geekculture/raspberry-pi-c-libraries-for-working-with-i2c-spi-and-uart-4677f401b584 RaspPi libraries for I2C, SPI, UART]
 +
 
 +
==== Mechanical Stuff ====
 +
 
 +
* '''Motors:''' [https://mjbots.com/products/moteus-r4-11 Moteus FOC Motor Driver]
 +
** '''Steppers:''' [https://www.amazon.com/Stepper-Printer-Extruder-Robotics-FY56EL300A-TLF1014J/dp/B09C5JNLD7/ref=sr_1_101?keywords=Stepper+motor&qid=1657528947&s=industrial&sr=1-101 NEMA 23 geared stepper]; [https://www.amazon.com/RTELLIGENT-Stepper-Closed-57X57X119mm-Encoder/dp/B07ZLQL83N/ref=sr_1_175?keywords=Stepper+motor&qid=1657529119&s=industrial&sr=1-175 NEMA 23 and step controller]
 +
* '''Gears:'''
 +
** '''Worm Gears:''' [https://www.khkgears.us/catalog/?c=fsearch&cid=worm-gears&keyword_session_id=vt~adwords|kt~worm%20gear|mt~b|ta~535170479926&_vsrefdom=wordstream&gclid=CjwKCAiAmuKbBhA2EiwAxQnt77-j4oHmga8G1EMtjXM3yi5u1P60C5zonFEJi8wWypKVZDCJZwxJthoCctwQAvD_BwE KHK Worm Gear Sets]; [https://www.igus.co.uk/info/3d-printed-worm-gears IGUS 3D printer worm gears];
 +
** '''Ebay Worm Gears:''' [https://www.ebay.com/itm/334089765167?chn=ps&_trkparms=ispr%3D1&amdata=enc%3A1eJaYY4xeT5SK8lddn9DeaQ17&norover=1&mkevt=1&mkrid=711-117182-37290-0&mkcid=2&mkscid=101&itemid=334089765167&targetid=1587268787897&device=c&mktype=&googleloc=9031117&poi=&campaignid=15275224983&mkgroupid=131097072938&rlsatarget=pla-1587268787897&abcId=9300697&merchantid=113785390&gclid=CjwKCAiAmuKbBhA2EiwAxQnt73i4LYkSVAJ30eR7zEMnk1jllqZdvpLa1UL6WPy92U6b9VimVOuXgxoCKecQAvD_BwE 285:1 set]; [https://www.ebay.com/itm/233915504483?_trkparms=amclksrc%3DITM%26aid%3D1110006%26algo%3DHOMESPLICE.SIM%26ao%3D1%26asc%3D20201210111314%26meid%3Dc53a65a48826478db156744e1539d3fd%26pid%3D101195%26rk%3D5%26rkt%3D12%26sd%3D233170925733%26itm%3D233915504483%26pmt%3D1%26noa%3D0%26pg%3D2047675%26algv%3DSimplAMLv11WebTrimmedV3MskuAspectsV202110NoVariantSeedKnnRecallV1&_trksid=p2047675.c101195.m1851&amdata=cksum%3A233915504483c53a65a48826478db156744e1539d3fd%7Cenc%3AAQAHAAABIMFr2e4EmAnM%252ByHZkULYKDIJ4L66fOjNL0iupgt%252BzO1%252F3AE1t3mNirUYB96NktMCicMagiS6mbeTl0xquGODv9mbhrL6AHmXIjEdVEk4%252FxNX9Nxal7bwRPxEarxDrWmc5E1EMDWy8Q9DDlhCym%252B1kBv%252BtoMAhvgtI9WJw7Y50i4UaNmjIMQaycQhYujh1fhpsZMjf9XaioQdfC%252BgP%252FjjH%252FfxkC1Pxj0MgJ2GMsEeG%252FX%252Fg97BoDlz%252Fi3pyK8zoA9OLoRs%252BTM6cgflO%252F6eG9p%252BlBELMQ21AqLoA3Nu5JrUxOifhlzkVyORDA1sOIveg5NoVn3O9R6%252BswEKzee8o%252FzX%252F%252BecrPa2RNEXfr%252B74ok4Y%252BTzJay%252BTY1nBHgkNDybczcHZA%253D%253D%7Campid%3APL_CLK%7Cclp%3A2047675 60:1 Set (x8)]; [https://www.ebay.com/itm/333908676388?_trkparms=amclksrc%3DITM%26aid%3D1110006%26algo%3DHOMESPLICE.SIM%26ao%3D1%26asc%3D20201210111314%26meid%3D279465e8119945a39733171190a6358b%26pid%3D101195%26rk%3D10%26rkt%3D12%26sd%3D233915504483%26itm%3D333908676388%26pmt%3D1%26noa%3D0%26pg%3D2047675%26algv%3DSimplAMLv11WebTrimmedV3MskuAspectsV202110NoVariantSeedKnnRecallV1&_trksid=p2047675.c101195.m1851&amdata=cksum%3A333908676388279465e8119945a39733171190a6358b%7Cenc%3AAQAHAAABIMFr2e4EmAnM%252ByHZkULYKDIJ4L66fOjNL0iupgt%252BzO1%252F3AE1t3mNirUYB96NktMCicMagiS6mbeTl0xquGODv9n%252Fqy2c7ZqN4eyXK79S5EEThXynMu64qxdz%252BtLZP1Ec%252BX2yBs8Ajw3BOrmCFcd5Qk0gGhy947iezMGOA9Dku1n9MrHKv6rnpqbnJ3Cihy8D81sdS5I7hGL0imWPWBBOFhhJtoNboNtaOzUFFea6EfKY4T%252BvYU%252BF3rjjKmlfBxCln%252BC1bGZ5vkQfaDVxTo43tBQ1C%252Fv0f1YckMRt19208RpKiTXi2M%252FoMtMwNPNCmuMo0thFLpx4jkNK%252BY778fmmF32NvuaX7OlP89BMSjl04yK0c0aPNrZwfauD7mNjrNtN%252BA%253D%253D%7Campid%3APL_CLK%7Cclp%3A2047675 60:1 set]; [https://www.ebay.com/itm/233918332173?hash=item36769e7d0d:g:H~cAAOSwnQtgQCyx 60:1 set (plastic worm, x4)]; [https://www.ebay.com/itm/333121215206?_trkparms=amclksrc%3DITM%26aid%3D1110006%26algo%3DHOMESPLICE.SIM%26ao%3D1%26asc%3D20201210111314%26meid%3De10e772a4608436cb9621a0119fff7a6%26pid%3D101195%26rk%3D4%26rkt%3D12%26sd%3D333122179682%26itm%3D333121215206%26pmt%3D1%26noa%3D0%26pg%3D2047675%26algv%3DSimplAMLv11WebTrimmedV3MskuAspectsV202110NoVariantSeedKnnRecallV1&_trksid=p2047675.c101195.m1851&amdata=cksum%3A333121215206e10e772a4608436cb9621a0119fff7a6%7Cenc%3AAQAHAAABEMFr2e4EmAnM%252ByHZkULYKDIJ4L66fOjNL0iupgt%252BzO1%252F3AE1t3mNirUYB96NktMCicMagiS6mbeTl0xquGODv9lmHn%252BnFgJ62AruJone5fJXAn5pQiie0MVNV7jJFF3xxZmTxAi%252ByUSh2nLfCSvRQO7HSyf7I99udKCIy6Oe9gHq7iEe%252BuLvmQ%252FAMGk3oKCMTc7lposJu3oeqX0yQ%252B2hQ%252FyCThduOUo9kEZ0yyzhe%252B%252B11rBELhvuCo%252BtG2zZ4YaNB3aCUWNy5exCgpoMtRtBiavXDH2H818KJ1SCPsZSWEpOqVMhGPohQNGDbKYvmN7HRBaSHW%252FhHZ5BxOBFp%252B7KfQqFEsATOwwFK3mXT62fQcoI%7Campid%3APL_CLK%7Cclp%3A2047675 60:1 set];
 +
** '''CAD:''' [https://www.youtube.com/watch?v=-6GqEHRKFXQ Worm Gears in Fusion 360]; [https://www.makexyz.com/3d-models/order/5ccd4947f7653f948b35f538b29d59ee Hyperbolic WormGear]; [https://www.thingiverse.com/thing:2839374 THingiverse 45:1 set]; [https://grabcad.com/library/worm-gear-18 GrabCad Set]; [https://www.thingiverse.com/thing:5136010 ThingiVerse 80:1 3D print set]; [https://www.thingiverse.com/thing:635027 ThingiVerse Hyperbolic set 3D print]; [https://www.thingiverse.com/thing:18544 THingiVerse set]; [https://www.thingiverse.com/thing:2480647 THingiVerse 120:1 Globoid]; [https://www.thingiverse.com/thing:2170237 ThingiVerse 1/15 ton jack screw]; [https://www.thingiverse.com/thing:2995199 ThingiVerse Worm Gear Box]; [https://www.youtube.com/watch?v=zjSCypsKnTE SolidWorks Worm Gear video]; [https://www.youtube.com/watch?v=a3UcmOBPCiw Differential Gearbox Tutorial]
 +
 
 +
* '''Temperature:''' [https://www.amazon.com/gp/bestsellers/industrial/5006547011/ref=pd_zg_hrsr_industrial Amazon Best Selling Temp. Sensors/Probes]; [https://www.adafruit.com/product/5027 AdaFruit I2C Temp Breakout]; [https://www.adafruit.com/product/4821 AdaFruit Accurate I2ZC breakout]; [https://www.sparkfun.com/products/16784 8 device MUX]; [https://www.amazon.com/DS18B20-Temperature-Waterproof-Stainless-Raspberry/dp/B087JQ6MCP/ref=asc_df_B087JQ6MCP/?tag=hyprod-20&linkCode=df0&hvadid=475739887329&hvpos=&hvnetw=g&hvrand=7805212582580193041&hvpone=&hvptwo=&hvqmt=&hvdev=c&hvdvcmdl=&hvlocint=&hvlocphy=9031117&hvtargid=pla-929135468309&th=1 Temp Probe for RaspPi];
 +
 
 +
==== Imaging Stuff ====
 +
* '''Cameras:''' [https://nu-msr.github.io/me495_site/lecture11_images.html Image Processing with Ros];
 +
 
 +
* '''Vision:''' 
 +
** '''YOLO Stuff:''' [https://medium.com/@pedroazevedo6/what-is-the-best-yolo-8526b53414af Which is the Best Yolo?]; [https://medium.com/@pedroazevedo6/from-yolo-to-yolov4-3dcba691d96a From Yolo to Yolo4];  [https://medium.com/@ANAI-DemocratizingAI/yolov6-explained-in-simple-terms-c46a0248bddc Yolo 6]; [https://medium.com/@asmitasinha/yolact-real-time-instance-segmentation-1-af0c27ee0bbc YOLACT object detection/segmentation]; [https://github.com/jinfagang/yolov7 Yolo 7 git]; [https://medium.com/augmented-startups/yolov7-training-on-custom-data-b86d23e6623 Training Yolo7 on custom data]; [https://medium.com/codex/imvotenet-paper-review-and-code-analysis-bf103117b32e ImVoteNet]; [https://syncedreview.com/2022/07/12/academia-sinicas-yolov7-outperforms-all-object-detectors-reduces-costs-by-50/  Yolo 7]; [https://amalaj7.medium.com/yolov7-now-outperforms-all-known-object-detectors-fd7170e8542d YoloV7 is best]; [https://medium.com/augmented-startups/train-yolov7-segmentation-on-custom-data-b91237bd2a29 Custom Data Training]; [https://medium.com/augmented-startups/yolov8-the-future-of-object-detection-is-here-5ab65c3f9975 Yolo V8]; [https://medium.com/mlearning-ai/yolo-v8-the-real-state-of-the-art-eda6c86a1b90 Yolo V8!];
 +
** '''Segmentation:''' [https://arxiv.org/abs/1904.02689 Yolact: Real-Time INstance Segmentation]; [https://arxiv.org/abs/2003.10152 SoloV2: Dynamic Fast Instance Segmentation] [https://medium.com/datatonic/computer-vision-deploying-image-segmentation-models-on-vertex-ai-e51ca67a7ed4 Image Segmentation on Vertex AI]; [https://pub.towardsai.net/build-a-semantic-segmentation-model-with-one-line-of-code-32b6eab0cb81 Best One-Line Image Segmentation Library]
 +
** '''Object Detection/Tracking:''' [https://medium.com/@pedroazevedo6/object-tracking-state-of-the-art-2022-fe9457b77382 SOTA Object Tracking]; [https://medium.com/axinc-ai/detic-object-detection-and-segmentation-of-21k-classes-with-high-accuracy-49cba412b7d4 DETIC (object detection and segmentation)]; [https://medium.com/codex/improve-the-performance-of-your-object-detection-model-54a94f374636 Improve Object Detection]; [https://medium.com/oxford-semantic-technologies/machine-learning-and-semantic-reasoning-the-perfect-union-using-object-detection-with-rdfox-2b291267d893 RDFox Semantic Segmentation, Object Detection]
 +
** [https://www.labforge.ca/features-ictn/ Labforge Multi-Camera Tracking]; [https://medium.com/mlearning-ai/the-best-object-detection-libraries-that-i-work-with-835428a1e01e Best Object Detection Libraries]; [https://pub.towardsai.net/build-a-semantic-segmentation-model-with-one-line-of-code-32b6eab0cb81 Best Library For Image Segmentation]
 +
** '''RTSP:''' [https://www.getscw.com/decoding/rtsp Generalized RTSP directions]; [https://reolink.com/blog/stream-ip-camera-to-youtube/ Set Up RTSP Streaming]; [https://github.com/mpromonet/v4l2rtspserver GitHub RTSP v4l2 server code]; [https://reolink.com/product/argus-pt/ Reolink RTSP camera]
 +
** '''Misc:''' [https://medium.com/@pedroazevedo6/deepstream-for-idiots-a28cd38a6e81 DeepStream for Idiots]; [https://medium.com/@danya.kosmin/an-overview-of-opencv-ai-kit-7702575dbb31 OpenCV AI kit]
 +
 
 +
* '''Model Compression:''' [https://openmmlab.medium.com/announcing-mmrazor-openmmlab-model-compression-toolbox-and-benchmark-aa743af13264 Open MM model compression]
 +
 
 +
* '''Time Series:''' [https://stumpy.readthedocs.io/en/latest/Tutorial_STUMPY_Basics.html Stumpy]
 +
 
 +
==== NLS ====
 +
* [http://ceres-solver.org/ Ceres NLS solver]; [https://www.gnu.org/software/gsl/doc/html/nls.html GNU NLS Solver];
 +
 
 +
==== Other Approaches ====
 +
* '''Truck Scales:''' [https://cardinalscale.com/product/product-model-listing/Truck-Scales/Olympus-Concrete-Deck-Truck-Scales-with-AC-Analog-Load-Cells?iframe=K-Scale Cardinal Scale]; [https://weighmytruck.com/how-to-use/driver-faq WeighMyTruck];
 +
* '''OverWeight:'' [https://www.youtube.com/watch?v=O7SdoEeWsLo Texas]; [https://www.youtube.com/watch?v=Fgq_V9i9UJU Tracking]; [https://www.youtube.com/watch?v=pW7XW7Q0hpM Road Damage];
 +
 
 +
==== '''ROS STuff:''' ==== 
 +
* '''Connect to non-ROS:''' [http://wiki.ros.org/rosbridge_suite ROSBridge];; [https://roboticsbackend.com/ros-node-outside-catkin-workspace/ Create ROS Node outside Catkin]; [http://wiki.ros.org/rosnodejs ROS Nodejs]; [https://answers.ros.org/question/267988/easiest-way-for-non-ros-program-to-talk-to-a-ros-node/ ROS Answers--talk to non-ROS]
 +
 
 +
* [https://www.mathworks.com/help/ros/ug/connect-to-a-ros-network.html MATLAB ROS Node]; [https://medium.com/black-coffee-robotics/ros1-robots-in-a-ros2-world-ee93c2647ae7 SlimBridge]
 +
 
 +
* '''IMU:''' [https://github.com/dawonn/vectornav/blob/master/msg/Ins.msg VectorNav VN-100 package]; [https://github.com/KumarRobotics/imu_vn_100/blob/master/README.md IMU-VN100 package]
 +
 
 +
* [http://repositories.ros.org/status_page/ros_noetic_default.html List of ROS Noetic Packages];
 +
 
 +
* '''RosBag:''' [http://wiki.ros.org/rosbag/Commandline ROSBag Command Line]; [https://wiki.ros.org/Bags/Format/2.0 ROS bag format]; [https://github.com/AtsushiSakai/rosbag_to_csv/tree/python2 ROS Bag-to-CSV program]; [http://wiki.ros.org/rosbag/Tutorials/reading%20msgs%20from%20a%20bag%20file ROS tutorial on reading Bags]; [https://answers.ros.org/question/9102/how-to-extract-data-from-bag/?answer=63877?answer=63877#post-id-63877 Extracting Data from a Bag]
 +
 
 +
* '''Data Synchronization:''' [https://answers.ros.org/question/234294/how-to-sync-two-ros-topics-by-adjusting-the-time-stamp/ How to Sync 2 ROS topics];  [https://answers.ros.org/question/146356/synchronise-point-cloud-and-rgb-image-from-the-same-camera/ Synchronize points and RGB-D]; [https://answers.ros.org/question/146356/synchronise-point-cloud-and-rgb-image-from-the-same-camera/ ROS Message Filter Doc]; [http://wiki.ros.org/message_filters/ApproximateTime Approximate Time in ROS Message FIlter];
 +
 
 +
* '''MultiMachine:''' [http://wiki.ros.org/ROS/Tutorials/MultipleMachines Running ROS across multiple machines]; [http://wiki.ros.org/ROS/NetworkSetup ROS Network Setup]; [https://answers.ros.org/question/10343/how-to-run-rviz-remotely/ How to Run RViz remotely]; [https://ardupilot.org/dev/docs/ros-rviz.html Sending Commands to RViz]; [https://husarion.com/tutorials/ros-tutorials/5-running-ros-on-multiple-machines/ Running ROS across Internet]
 +
 
 +
* '''Cameras and Drivers:''' [http://wiki.ros.org/Sensors/Cameras ROS page on Cameras]; [http://wiki.ros.org/image_transport/Tutorials Image Transport Tutorials];
 +
** [https://wiki.ros.org/usb_cam USB_CAM]; [http://wiki.ros.org/video_stream_opencv OpenCV video stream driver]; [https://github.com/alireza-hosseini/ipcamera_driver IP camera Driver];
 +
|}
 +
 
 +
== DARPA LINC Links ==
 +
{| width=100% border=1 cellpadding=2 cellspacing=2
 +
|- valign=top
 +
|
 +
==== Interface ====
 +
* [https://mqtt.org/ MQTT]; [https://developers.google.com/protocol-buffers Protocol Buffers]
 +
|
 +
 
 +
==== GVR-BOT ====
 +
 
 
|}
 
|}
  

Latest revision as of 21:55, 22 March 2023

Welcome to my personal research wiki page. I use this wiki to link to sites of research/technical/academic/administrative interest, and to keep files relevant to my research collaborations. This wiki is permanently under construction, as it evolves with my research activiites. Hopefully you can find something of use here.

Quick Facts about Me

Current Research Projects & Interests

My research is divided between traditional robotics research, and collaborations with neuroscientists to develop technology for paralyzed nervous systems. More information can be found at the Burdick Research Group Homepage

Robotics Research

Quick Links

Teaching

On-Line Publications/Catalogs

Handy References

Conferences, Proposals, etc.

Quick Personal Links

Robotics Links

Robotics Projects & Sites

Opensource

Robotics Events, News, Community


Robotics Competitions

Robots in Fiction & Cinema

Robot Hardware/Mechanisms Links

  • Research Bots: HiBot (Hirose lab spin-off);

Mechanisms

Parallel Mechanisms

Servos/Controllers/Electronics

Embedded Computing/Interface Hardware

Force Sensors

Hands/Grippers

Sensing

Vision

Motors/Actuators/Gears

Software Resources

GPU Computing


Motor/Drive Resources

Motor-related Sites

Tutorial

Servo Drive Electronics

Tensor methods


Machine Learning Resources

Tutorial Stuff

Deep Learning

Graph Neural Networks

Reinforcement Learning

LSTM

AutoEncoders

Gauusian Processes

Semantic Segmentation

Attention

Causality

Depth Estimation

Explainable AI

Chat-GPT

Time Series

Conformal Prediction/Regression/Anamoly

Coding/Tools

Optimization/Active Learning

Bandits

Tensor methods

Paper Source

Public Domain Codes

Computational/Algorithmic Game Theory

FreeWare AI-based graphics/movie tools

Nuts&Bolts Mechanical Engineering/Design Resources

Vibration Isolation

Low Cost/Used/Hobby Machine Tools

CAD/CAM

Auctions:

Other Numerical Machine Tools

Pneumatics/Hydraulics

Fixtures/Clamps/Vises

Basic Mechanical Componenents

Raw Material

Computational Geometry

Voronoi Diagrams

On-Line Demonstrations

Resources

Origami

TSP

MRI Imaging/Segmentation


Systems Engineering/Signal Processing

General

Vision/Graphics

Kinect 3D Sensor and Point Data

Spectral Graph Theory

Signal Processing

Wavelets

Frames

Diffusion Wavelets

Tensor Methods

Info Theory

Machine Learning

Probability/Statistics

Control

Graph Theory

Basic Applied Math

BioEngineering/NeuroEngineering Links

Spinal Cord & Rehab

Epidural Stimulation/Simulation

Neural Coding/Processing

NeuroScience

Prosthetics

BioMechanics/BioBehavior

Teaching Aids/Tutorials


Temporary Links

These are links that have not yet been organized, or that are needed only on a temporary basis.

Salt Cell Vendors

Wrought Iron Parts

Misc. Personal

Home Solar

Flora

Local Attractions/Info

Lathes/Rebuild

Chipper/Shredder

Walking Frame Ideas

WeighCam

Electronic Stuff

Mechanical Stuff

Imaging Stuff

NLS

Other Approaches

ROS STuff:

DARPA LINC Links

Interface

GVR-BOT

DARPA SubT Links

Sensors

X-maxx

RC Car Info

Tracked Vehicles

Off-Road Terrain Vehicles

Suspensions

Treads/Tracks/Tires

Multi-Rotor Platforms


Localization/Mapping Sensors

Terrain Mapping

Diesel Model Airplane Motors

Parkinsons research

Portable Projectors

Graphics Programming Tools


Wiki, Wiki, Wiki

This wiki is based on WikiMedia software, the same software underlying Wikipedia. Below are intro wiki links, and links related to all things wiki.

Getting Started with Wikis

More Wiki Topics

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