Student Competition - Mobile Robotics Training
- 66 files
- 1773 downloads
This entry contains all of the example and exercise materials for the online training: Student Competition - Mobile Robotics Training.
Mobile Robotics Training Video Series:
Part 1: Controlling Robot Motion
Part 2: Using PID Controllers
Part 3: Line Following Algorithms
Part 4: Obstacle Detection Algorithms
Part 5: Path Navigation
NOTE: This entry requires the Student Competition - Mobile Robotics Training Toolbox. To download the toolbox, go to: https://www.mathworks.com/matlabcentral/fileexchange/62961-student-competition-mobile-robotics-training-toolbox
Comments and Ratings (1)
Updates
| 1.1.0.0 | 1.1 - Updated all files to fix a download issue. |
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Acknowledgements
Inspired by: Mobile Robotics Training Toolbox
Inspired: Mobile Robotics Training Toolbox, LEGO Mobile Robotics Workshop, Robot Autonomy and Control Workshop
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StudentCompetition_MobileRoboticsTraining/
StudentCompetition_MobileRoboticsTraining/controllingRobotMotion/examples/
StudentCompetition_MobileRoboticsTraining/lineFollowing/examples/
StudentCompetition_MobileRoboticsTraining/obstacleDetection/examples/
StudentCompetition_MobileRoboticsTraining/pathNavigation/examples/
StudentCompetition_MobileRoboticsTraining/usingPID/examples/
StudentCompetition_MobileRoboticsTraining/controllingRobotMotion/examples/
StudentCompetition_MobileRoboticsTraining/controllingRobotMotion/exercises/
StudentCompetition_MobileRoboticsTraining/lineFollowing/examples/
StudentCompetition_MobileRoboticsTraining/lineFollowing/exercises/
StudentCompetition_MobileRoboticsTraining/obstacleDetection/examples/
StudentCompetition_MobileRoboticsTraining/obstacleDetection/exercises/
StudentCompetition_MobileRoboticsTraining/pathNavigation/examples/
StudentCompetition_MobileRoboticsTraining/pathNavigation/exercises/
StudentCompetition_MobileRoboticsTraining/usingPID/examples/
StudentCompetition_MobileRoboticsTraining/usingPID/exercises/
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Soe Hein (view profile)
This training is very effective and essential for students who is studying mobile robot.thanks to all