Difference between revisions of "JoelBurdick"

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=== Robotics Projects & Sites ===
 
=== Robotics Projects & Sites ===
* '''Public Data Sets:''' [http://www.rawseeeds.org/ Raw Seeds]; [http://www.willowgarage.com/ Willow Garage]; [http://kos.informatik.uni-osnabrueck.de/3Dscans/ 3D Laser Data sets]; [http://kitchendata.cs.tum.edu TUM Kitchen Data Set]; [http://kos.informatik.uni-osnabrueck.de/3Dscans/ Aass-Loop dataset]; [http://cvpr.in.tum.de/data/datasets/rgbd-dataset/ Freiburg Metallic Sphere RGBD data]
+
* '''Public Data Sets:''' [http://kos.informatik.uni-osnabrueck.de/3Dscans/ 3D Laser Data sets]; [http://kitchendata.cs.tum.edu TUM Kitchen Data Set]; [http://kos.informatik.uni-osnabrueck.de/3Dscans/ Aass-Loop dataset]; [http://cvpr.in.tum.de/data/datasets/rgbd-dataset/ Freiburg Metallic Sphere RGBD data]
 
* '''Online Conf. Materials:''' [http://www.acfr.usyd.edu.au/education/summerschool.shtml 4th SLAM Summer School]; [http://safety2010.inrialpes.fr/proceedings/ ICRA 2010 Wkshop on Safe Navigation in Dynamics Environments]; [http://web.mae.cornell.edu/hadaskg/ICRA10/Abstracts.html Formal Methods for Robotics];
 
* '''Online Conf. Materials:''' [http://www.acfr.usyd.edu.au/education/summerschool.shtml 4th SLAM Summer School]; [http://safety2010.inrialpes.fr/proceedings/ ICRA 2010 Wkshop on Safe Navigation in Dynamics Environments]; [http://web.mae.cornell.edu/hadaskg/ICRA10/Abstracts.html Formal Methods for Robotics];
 
* '''Online Courses/Tutorials:''' [http://www.robot-learning.de/Research/LocomotionSeminar Locomotion Seminar Course];
 
* '''Online Courses/Tutorials:''' [http://www.robot-learning.de/Research/LocomotionSeminar Locomotion Seminar Course];
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==== Opensource ====
 
==== Opensource ====
* [http://www.ros.org/wiki/ ROS]; [http://cmu-ros-pkg.sourceforge.net/ CMU Personal Robotics ROS]; [http://www.ros.org/wiki/chomp_motion_planner CHOMP Motion Planner];  
+
* '''ROS:''' [http://www.ros.org/wiki/ ROS]; [http://cmu-ros-pkg.sourceforge.net/ CMU Personal Robotics ROS]; [http://www.ros.org/wiki/chomp_motion_planner ROS CHOMP Motion Planner];
 +
* '''Gazebo:'''  [http://gazebosim.org/gzweb.html GZWeb (web-based Gazebo client)]
 
* [http://www.usna.edu/Users/weapsys/esposito/roomba.matlab/ USNA MATLAB kit for iRobot Create];
 
* [http://www.usna.edu/Users/weapsys/esposito/roomba.matlab/ USNA MATLAB kit for iRobot Create];
 
* [http://slam6d.sourceforge.net 6D Slam@sourceforge]; [http://www.robots.ox.ac.uk/~mobile Fast Appearance Based mapping]; [http://www.petercorke.com/robot Robotics MATLAB Toolbox]; [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.petercorke.com/robot Robotics MATLAB Toolbox]; [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];
 +
* [https://theclassytim.medium.com/robotic-path-planning-rrt-and-rrt-212319121378 Tutorial on RRT, RRT*];
 
* [http://www.ersdac.or.jp/GDEM/E/4.html ASTER high-res digital earth maps];
 
* [http://www.ersdac.or.jp/GDEM/E/4.html ASTER high-res digital earth maps];
 
* '''LaValle Book:''' [http://planning.cs.uiuc.edu/node821.html Dubins Curves]; [http://planning.cs.uiuc.edu/node822.html Reeds-Shepp]; [http://planning.cs.uiuc.edu/node823.html Balkcom-Mason Curves];
 
* '''LaValle Book:''' [http://planning.cs.uiuc.edu/node821.html Dubins Curves]; [http://planning.cs.uiuc.edu/node822.html Reeds-Shepp]; [http://planning.cs.uiuc.edu/node823.html Balkcom-Mason Curves];
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** [https://www.youtube.com/watch?v=Hox26aaWOBU Kawasaki Stainless Steel Arm]; [https://www.youtube.com/watch?v=KBrR6tr_b_4 ReThink Sawyer];
 
** [https://www.youtube.com/watch?v=Hox26aaWOBU Kawasaki Stainless Steel Arm]; [https://www.youtube.com/watch?v=KBrR6tr_b_4 ReThink Sawyer];
  
* '''Fractal Vise:''' [https://www.youtube.com/watch?v=eCfw9fd0mHg 3D printed vise]; [https://www.thingiverse.com/thing:4904044 ThingiVerse model]; [https://hackaday.com/2021/07/10/fractal-vise-holds-odd-shaped-objects-tight/ Hackaday version]; [https://grabcad.com/library/fractal-vice-version-2-1 GrabCad files]; [https://www.prusaprinters.org/prints/70859-fractal-bench-dogclamp-for-workmate Bench Dog VErsion]; [https://grabcad.com/library/fractal-vise-1 More GrabCad]; [https://3dmixers.com/m/98144-fractal-vise-concept-study 3D Mixers Version]
+
* '''Fractal Vise:''' [https://www.youtube.com/watch?v=eCfw9fd0mHg 3D printed vise]; [https://www.thingiverse.com/thing:4904044 ThingiVerse model]; [https://hackaday.com/2021/07/10/fractal-vise-holds-odd-shaped-objects-tight/ Hackaday version]; [https://grabcad.com/library/fractal-vice-version-2-1 GrabCad files]; [https://www.prusaprinters.org/prints/70859-fractal-bench-dogclamp-for-workmate Bench Dog VErsion]; [https://grabcad.com/library/fractal-vise-1 More GrabCad]; [https://3dmixers.com/m/98144-fractal-vise-concept-study 3D Mixers Version]; [https://youtu.be/blFg4t3MObM Prototype Version]
  
 
==== Parallel Mechanisms ====
 
==== Parallel Mechanisms ====
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==== Tutorial Stuff ====
 +
* [https://github.com/Nyandwi/machine_learning_complete GitHub repository on ML examples]
 +
 
==== Deep Learning ====
 
==== Deep Learning ====
 
* [https://en.wikipedia.org/wiki/Torch_(machine_learning) Torch Learning Software];
 
* [https://en.wikipedia.org/wiki/Torch_(machine_learning) Torch Learning Software];
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* '''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://deepmind.com/blog/article/building-architectures-that-can-handle-the-worlds-data Deep Mind Perceiver IO]; [https://cloud.google.com/vertex-ai Google Vertex AI];
 
* [https://deepmind.com/blog/article/building-architectures-that-can-handle-the-worlds-data Deep Mind Perceiver IO]; [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]
  
 
==== Reinforcement Learning ====
 
==== Reinforcement Learning ====
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==== Depth Estimation ====
 
==== Depth Estimation ====
 
* [https://medium.com/toyotaresearch/self-supervised-learning-in-depth-part-1-of-2-74825baaaa04 TRI Depth Estimation Story/Code]
 
* [https://medium.com/toyotaresearch/self-supervised-learning-in-depth-part-1-of-2-74825baaaa04 TRI Depth Estimation Story/Code]
 +
 +
==== Explainable AI ====
 +
* [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]
 
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==== Computational/Algorithmic Game Theory ====
 
==== Computational/Algorithmic Game Theory ====
 
* [http://timroughgarden.org/f13/f13.html Algorithmic Game Theory]; [http://timroughgarden.org/f13/f13.html Columbia Algorithmic Game Theory]; [https://m.tau.ac.il/~mansour/course_games/course_games_03_04.htm TAU Computational Game Theory]; [https://www.inf.ed.ac.uk/teaching/courses/agta/ Edinburgh CGT];
 
* [http://timroughgarden.org/f13/f13.html Algorithmic Game Theory]; [http://timroughgarden.org/f13/f13.html Columbia Algorithmic Game Theory]; [https://m.tau.ac.il/~mansour/course_games/course_games_03_04.htm TAU Computational Game Theory]; [https://www.inf.ed.ac.uk/teaching/courses/agta/ Edinburgh CGT];
 +
 +
==== FreeWare AI-based graphics/movie tools ====
 +
* '''branding:''' [https://brandmark.io/ Brandmark.io (automated logo generation)]; [https://namelix.com/ NameLix (auto-generate business names)];
 +
* '''images:''' [https://hotpot.ai/ HotPot.AI (process pictures)]; [https://deep-image.ai/ Deep-image.ai (image enlargement)]; [https://bigjpg.com/ bigjpg.com (image enhancer)];
 +
* '''video:''' [https://lumen5.com/ Lumen 5 (video content)]; [https://www.myheritage.com/deep-nostalgia Deep Nostalgia]
 
|}
 
|}
  
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* [http://graphics.stanford.edu/~niloy/research/folding/folding_sig_08.html Curved Folding SIGGRAPH paper];
 
* [http://graphics.stanford.edu/~niloy/research/folding/folding_sig_08.html Curved Folding SIGGRAPH paper];
 
* [http://www.langorigami.com/science/math/hja/origami_constructions.pdf Origami & Geometric Construction text by Lang];
 
* [http://www.langorigami.com/science/math/hja/origami_constructions.pdf Origami & Geometric Construction text by Lang];
 +
 +
==== TSP ====
 +
* [https://www2.seas.gwu.edu/~simhaweb/champalg/tsp/tsp.html The TSP Problem]; [https://neos-guide.org/content/multiple-traveling-salesman-problem-mtsp Multiple TSP]
 +
* [https://www.mathworks.com/matlabcentral/mlc-downloads/downloads/submissions/19218/versions/1/previews/matgraph/samples/html/hamiltonian.html#1 MATLAB Code for Hamiltonian Graphs]
  
 
==== MRI Imaging/Segmentation ====
 
==== MRI Imaging/Segmentation ====
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<!-- NEW BOX -->
 
<!-- NEW BOX -->
 +
 
== Systems Engineering/Signal Processing ==
 
== Systems Engineering/Signal Processing ==
  
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* [http://math.stanford.edu/~memoli/papers/dgh-euclidean.pdf Gromov-Hausdorff Distances];
 
* [http://math.stanford.edu/~memoli/papers/dgh-euclidean.pdf Gromov-Hausdorff Distances];
 
* [http://www.ortery.com/ Ortery 3-D model building]; [http://reconstructme.net/ ReconstructMe]; [http://www.123dapp.com/catch Autodesk 123D Catch];
 
* [http://www.ortery.com/ Ortery 3-D model building]; [http://reconstructme.net/ ReconstructMe]; [http://www.123dapp.com/catch Autodesk 123D Catch];
 +
* '''Photogrammetry:'''
 +
** '''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];
 +
* '''Segmentation:''' [https://medium.com/@harikiranmudipalli/attention-based-semantic-segmentation-8549dcc4c9d3 Attention Based Segmantic Segmentation]
 +
* '''Monocular:''' [https://medium.com/toyotaresearch/monocular-depth-in-the-real-world-99c2b287df34 Monocular Depth in Real World]
 +
 
==== Kinect 3D Sensor ====
 
==== Kinect 3D Sensor ====
 
* '''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);
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* '''GPO:''' [http://www.gaussianprocess.org/ GaussianProcess.Org];
 
* '''GPO:''' [http://www.gaussianprocess.org/ GaussianProcess.Org];
 
* '''ARD:''' [http://www.wiziq.com/tutorial/726-Extending-Expectation-Propagation-for-Graphical-Mo Expectation Propagation for Graphical Models] (on-line slides);
 
* '''ARD:''' [http://www.wiziq.com/tutorial/726-Extending-Expectation-Propagation-for-Graphical-Mo Expectation Propagation for Graphical Models] (on-line slides);
 +
* [https://medium.com/@khang.pham.exxact/pytorch-geometric-vs-deep-graph-library-626ff1e802 PyTorch vs. Deep Graph Library]
 +
* [https://medium.com/geekculture/6-machine-learning-ideas-for-the-modern-deep-learning-practioner-f98f684db34f Six Techniques for ML Practitioner];
 
* '''Code:''' [http://cmp.felk.cvut.cz/~xdupac/DHMM_toolbox/labmo_doc/index.html HMM Matlab Toolbox]; [http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html Kevin Murphey\'s HMM Toolbox]; [http://www.cse.buffalo.edu/faculty/mbeal/software.html Code by M.J. Beal] (Variational Bayes);
 
* '''Code:''' [http://cmp.felk.cvut.cz/~xdupac/DHMM_toolbox/labmo_doc/index.html HMM Matlab Toolbox]; [http://www.cs.ubc.ca/~murphyk/Software/HMM/hmm.html Kevin Murphey\'s HMM Toolbox]; [http://www.cse.buffalo.edu/faculty/mbeal/software.html Code by M.J. Beal] (Variational Bayes);
 
* '''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];
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==== Treads/Tracks/Tires ====
 
==== Treads/Tracks/Tires ====
* '''Jaguar Tracked Vehicles:''' [https://www.robotshop.com/en/dr-robot-jaguar-tracked-mobile-platform.html Single Flipper Vehicle]; [https://www.robotshop.com/en/dr-robot-jaguar-tracked-mobile-platform-chassis-motors.html Single Flipper Chassis]; [https://www.robotshop.com/en/jaguar-v4-tracked-mobile-robotic-platform.html V4 Dual Flipper];
 
* [https://www.robotshop.com/en/open-rover-robot-tracked-bundle.html Rover Robotics Open Source Tracked VEhicle];
 
  
* ''' RC Scale Tracks:''' [https://www.ebay.com/p/Xtra-Speed-TANKY-All-Terrain-Tracks-Blue-Axial-Scx10-Wraith-RC-Car-xs-59606bu/1544816496?iid=132236611053&chn=ps Tanky Tracks]; [https://store.rc4wd.com/Predator-Tracks_c_176.html Predator Tracks]; [https://www.integy.com/st_prod.html?p_prodid=15671&p_catid=257&ratesortby=New#.UzDDe2e9Kc1 RC Snowmobile Track Conversion]; [https://www.amainhobbies.com/team-integy-traxxas-snowmobile-sandmobile-conversion-kit-blue-intt4122bl/p227293 Integy Traxxas Snowmobile Conversion]; [https://www.amainhobbies.com/team-integy-traxxas-front-snowmobile-sandmobile-conversion-kit-blue-intt8632bl/p274377?gclid=CJ6ToIuxtsoCFYdgfgod2ysPTA Integy Traxxas Snowmobile Conversion (1/10)];  
+
* ''' RC Scale Tracks:''' [https://www.ebay.com/p/Xtra-Speed-TANKY-All-Terrain-Tracks-Blue-Axial-Scx10-Wraith-RC-Car-xs-59606bu/1544816496?iid=132236611053&chn=ps Tanky Tracks]; [https://www.integy.com/st_prod.html?p_prodid=15671&p_catid=257&ratesortby=New#.UzDDe2e9Kc1 RC Snowmobile Track Conversion]; [https://www.amainhobbies.com/team-integy-traxxas-snowmobile-sandmobile-conversion-kit-blue-intt4122bl/p227293 Integy Traxxas Snowmobile Conversion]; [https://www.amainhobbies.com/team-integy-traxxas-front-snowmobile-sandmobile-conversion-kit-blue-intt8632bl/p274377?gclid=CJ6ToIuxtsoCFYdgfgod2ysPTA Integy Traxxas Snowmobile Conversion (1/10)];  
  
 
* [https://www.techeblog.com/darpas-robotic-suspension-system-adapts-to-rough-terrain-and-glides-over-any-obstacles-this-video-shows-how/  DARPA Adaptive Track program]; [https://www.youtube.com/watch?v=rEn0aH8DRcM  ITU Rover];
 
* [https://www.techeblog.com/darpas-robotic-suspension-system-adapts-to-rough-terrain-and-glides-over-any-obstacles-this-video-shows-how/  DARPA Adaptive Track program]; [https://www.youtube.com/watch?v=rEn0aH8DRcM  ITU Rover];
  
* [https://www.alibaba.com/product-detail/New-Style-undercarriage-chassis-tracks-robot_60736362598.html?spm=a2700.details.maylikever.13.3a0e6c5fkIfpdF Alibaba small tracked robot]; [https://www.ebay.com/p/Robot-Platform-Kit-Arduino-DIY-Smart-Tank-Car-TRACKED-Chassis-Dual-DC-9v-Motor/16008774271?iid=142567633294 Small Tracked Robot]
+
* [https://gokartsusa.com/Super-Traxx-Tracked-Vehicle-PTV-ATV-UTV.aspx PTV ATV]; [https://www.youtube.com/watch?v=C2eYD4CV0qI Magic Go-Kart]; [https://www.coroflot.com/mikedee/This-winter-will-be-hot-tracked-Segway-like-vehicle Coroflot];
 
+
* [https://www.ebay.com/i/262938400209?chn=ps Rubber Track];[https://www.ebay.com/itm/New-Composit-Talon-T32-Snowmobile-Track-121-X-15-X-1-25-Lug-Fully-Clipped/263518149072?hash=item3d5ae7d9d0:g:2AcAAOSw5cNYVJaF Composite Talon Track];
+
 
+
* [https://gokartsusa.com/Super-Traxx-Tracked-Vehicle-PTV-ATV-UTV.aspx PTV ATV]; [https://www.youtube.com/watch?v=C2eYD4CV0qI Magic Go-Kart]; [https://www.coroflot.com/mikedee/This-winter-will-be-hot-tracked-Segway-like-vehicle Coroflot]; [https://sites.google.com/site/ryanlinmechanicalengineering/projects/spawar-segway-tracked-robot UCSD tracked Segway];
+
 
+
* '''RC Tires:''' [https://www.youtube.com/watch?v=jqfM6Mc_BPU 2.8 King Flings];
+
  
 
==== Multi-Rotor Platforms ====  
 
==== Multi-Rotor Platforms ====  

Revision as of 16:43, 15 June 2022

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

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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

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

Reinforcement Learning

Semantic Segmentation

Depth Estimation

Explainable AI

Optimization/Active Learning

Bandits

Tensor methods

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

Engineering MarketPlaces


Computational Geometry

On-Line Demonstrations

Resources

Origami

TSP

MRI Imaging/Segmentation


Systems Engineering/Signal Processing

General

Vision/Graphics

Kinect 3D Sensor

Spectral Graph Theory

Signal Processing

Wavelets

Frames

Diffusion Wavelets

Tensor Methods

Info Theory

Machine Learning

Probability/Statistics

Control

Graph Theory

Basic Applied Math

UWB Radar Links

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

Wood Items

Misc. Personal

Home Solar

Flora

Local Attractions/Info

Lathes/Rebuild

Misc.

Walking Frame Ideas

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

Localization Packages

Terrain Mapping

Diesel Model Airplane Motors

Parkinsons research

Portable Projectors

Graphics Programming Tools


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