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algorithmsforsensorbasedrobotics's Introduction

Screw Theory-Based Manipulator Analysis Code Featuring Forward Kinematics, Manipulability Analysis, and Inverse Kinematics

Associated with ME 397 Algorithms for Sensor-Based Robotics at UT Austin

The examples shown here are for a Franka-Emika Panda robot, though the code is easily generalizable to any robot by adding the relevant parameters to instaniate_robot.m.


Screw-Based Forward Kinematics

Zero and ready configurations of the robot using space frame FK:


Manipulability Measures

Manipulability ellispoids at zero and ready configurations:


Jacobian Pseudo-Inverse Inverse Kinematics

Algorithm performance:


Jacobian Transpose Inverse Kinematics

Algorithm performance:


Redundancy Resolution Inverse Kinematics

Algorithm performance:


Damped Least-Squares Inverse Kinematics

Algorithm performance:


Performance Comparison

Performance of Jacobian, Tranpose, Redundancy Resolution, and Damped Least-Squares algorithms compared:


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