Robot Path Planning with Obstacles, Actuator, Gripper, and Payload Constraints

Author:

Shiller Zvi1,Dubowsky Steven2

Affiliation:

1. Mechanical, Aerospace, and Nuclear Engineering Department University of California Los Angeles, California 90024

2. Department of Mechanical Engineering Massachusetts Institute of Technology Cambridge, Massachusetts 02139

Abstract

A method is presented to obtain the time-optimal motions for robotic manipulators. It considers the full nonlinear dy namics of the manipulator, its actuator saturation limits, and gripper and payload constraints. It also accounts for both the presence of obstacles in the work space and restrictions on the motion of the manipulator's joints. The method is com putationally practical and has been implemented for the optimal trajectory planning of general six degree-of-freedom manipulators. Examples are presented that demonstrate the substantial improvement in manipulator performance that can be achieved using this method.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modeling and Simulation,Software

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1. On the Performance of Jerk-Constrained Time-Optimal Trajectory Planning for Industrial Manipulators;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

2. SCTOMP: Spatially Constrained Time-Optimal Motion Planning;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

3. Time-optimal attitude planning for spacecraft with movable parts using second order cone programming;Aerospace Science and Technology;2023-10

4. A Randomized Kinodynamic Planner for Closed-Chain Robotic Systems;IEEE Transactions on Robotics;2021-02

5. Semi-infinite programming for trajectory optimization with non-convex obstacles;The International Journal of Robotics Research;2021-01-10

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