MacHmudah, A. and Parman, S. and Zainuddin, A. and Chacko, S. (2013) Polynomial joint angle arm robot motion planning in complex geometrical obstacles. Applied Soft Computing Journal, 13 (2). pp. 1099-1109. ISSN 15684946
Full text not available from this repository.Abstract
This paper addresses a point-to-point of an arm robot motion planning in complex geometrical obstacle. It will govern a two-layer optimization strategy utilizing sixth degree polynomial as joint angle path. At the beginning of the motion planning process, the path planning starts with the optimization objective to minimize the joint angle travelling distance under collision detection rules as constraint. After the best path has been met, the associated time will be searched with the optimization objective to minimize the total travelling time and the torque under the maximum velocity, the maximum acceleration, the maximum jerk, and the maximum torque constraints. The performance of a Genetic Algorithm (GA) and a Particle Swarm Optimization (PSO) will be investigated in searching the feasible sixth degree polynomial joint angle path and the total travelling time that gives the optimal trajectories under kinodynamic constraints. A 3-Degree-Of-Freedom (3-DOF) planar robot will be utilized to simulate the proposed scenario. © 2012 Elsevier B.V. All rights reserved.
Item Type: | Article |
---|---|
Additional Information: | cited By 26 |
Uncontrolled Keywords: | Genetic algorithms; Motion planning; Optimization; Particle swarm optimization (PSO); Polynomials; Robots, Collision detection; Kinodynamic constraint; Maximum acceleration; Maximum velocity; Optimal trajectories; Optimization strategy; Point to point; Robot motion planning, Robot programming |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 15:52 |
Last Modified: | 09 Nov 2023 15:52 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/3954 |