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Trajectory Planning for Robot Manipulators

Sebastian Castro discusses technical concepts, practical tips, and software examples for motion trajectory planning with robot manipulators. - Visit the MATLAB and Simulink Robotics Arena: https://bit.ly/2DUdmJW First, Sebastian introduces the difference between task space and joint space trajectories and outlines the advantages and disadvantages of each approach. Then he describes various common techniques such as trapezoidal trajectories, polynomial trajectories, and rotation interpolation. Throughout the video, you will see several MATLAB® and Simulink® examples testing different types of trajectory generation and execution using a 3D model of the seven-degrees-of-freedom Kinova® Gen3 Ultra lightweight robot. For more information, refer to these links: Robot Manipulation, Part 1: Kinematics: https://bit.ly/43xMp73 Robot Manipulation, Part 2: Dynamics and Control: https://bit.ly/3pwTery Manipulator Shape Tracing in MATLAB and Simulink: https://bit.ly/2W9UU9s -------------------------------------------------------------------------------------------------------- Get a free product Trial: https://goo.gl/ZHFb5u Learn more about MATLAB: https://goo.gl/8QV7ZZ Learn more about Simulink: https://goo.gl/nqnbLe See What's new in MATLAB and Simulink: https://goo.gl/pgGtod © 2019 The MathWorks, Inc. MATLAB and Simulink are registered trademarks of The MathWorks, Inc. See www.mathworks.com/trademarks for a list of additional trademarks. Other product or brand names may be trademarks or registered trademarks of their respective holders.