Designing Robot Manipulator Algorithms
Updated 15 Oct 2019
This submission contains all the files used for the MATLAB and Simulink Robotics Arena videos, "Designing Robot Manipulator Algorithms" and "Controlling Robot Manipulator Joints".
The files include the following:
- A MATLAB script demonstrating how to implement inverse kinematic algorithms for a robot manipulator
- Simulink models of torque control of a robot manipulator using configuration-space and task-space controllers
- Simulink model of a manipulator using the derived inverse kinematics algorithm to pick up an object and follow a trajectory
- Simulink model of a manipulator using inverse kinematics to catch an object in the air that demonstrates possible next steps and the integration of perception algorithms
All files necessary to run the scripts and models, including CAD files and URDF files are either contained within the submission or downloaded using the startup script provided. You must have command-line Git installed to automatically download the robot description files.
For convenience, local copies of the Simscape Multibody Multiphysics Library and Simscape Multibody Contact Forces Library have been included with this submission. If you would like to install the latest version of these libraries, you can find them below:
* Simscape Multibody Multiphysics Library: https://www.mathworks.com/matlabcentral/fileexchange/37636-simscape-multibody-multiphysics-library
* Simscape Multibody Contact Forces Library: https://www.mathworks.com/matlabcentral/fileexchange/47417-simscape-multibody-contact-forces-library
MathWorks Student Competitions Team (2023). Designing Robot Manipulator Algorithms (https://github.com/mathworks-robotics/designing-robot-manipulator-algorithms), GitHub. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
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Versions that use the GitHub default branch cannot be downloaded
Linked to GitHub. Updated to use new built-in contact forces in Simscape Multibody. Switched from Curve Fitting Toolbox splines to Robotics System Toolbox for cubic and trapezoidal velocity trajectories.
Bug fixes due to changes in external robot description repository.
Upgraded models to R2018b. Now using the built-in Inverse Kinematics block in Robotics System Toolbox.
Minor updates due to robot description file changes in the ROBOTIS GitHub repository.
Bug fixes to check and resolve external file dependencies. Added preloaded MATLAB object as a backup in case external files cannot be set up correctly.
Added torque control examples, using the new R2018a Robotics System Toolbox blocks.
Adding a script to check necessary dependencies for submission