Trajectory Planning for Robot Manipulators

MATLAB and Simulink examples for trajectory generation and evaluation of robot manipulators.
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Aktualisiert 16. Okt 2019

This submission consists of educational MATLAB and Simulink examples for trajectory generation and evaluation of robot manipulators.

All examples feature the 7-DOF Kinova Gen3 Ultra lightweight robotic manipulator: https://www.kinovarobotics.com/en/products/robotic-arms/gen3-ultra-lightweight-robot

There is a presaved MATLAB rigid body tree model of the Kinova Gen3; however, you can
access the 3D model description from the Kinova Kortex GitHub repository: https://github.com/Kinovarobotics/ros_kortex

For more information on the Robotics System Toolbox functionality for manipulators,
see the documentation: https://www.mathworks.com/help/robotics/manipulators.html

For more background information on trajectory planning, refer to this presentation: https://cw.fel.cvut.cz/old/_media/courses/a3m33iro/080manipulatortrajectoryplanning.pdf

If you have any questions, email us at roboticsarena@mathworks.com.

Zitieren als

MathWorks Student Competitions Team (2024). Trajectory Planning for Robot Manipulators (https://github.com/mathworks-robotics/trajectory-planning-robot-manipulators), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2019b
Kompatibel mit R2019b und späteren Versionen
Plattform-Kompatibilität
Windows macOS Linux

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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.1

Linked to GitHub. Updated syntax for R2019b and setup instructions to import latest external robot model.

1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.