Real-time obstacle avoidance for manipulators and mobile robots
International Journal of Robotics Research
International Journal of Robotics Research
Collision avoidance in multiple-redundant manipulators
International Journal of Robotics Research
An Introduction to Genetic Algorithms for Scientists and Engineers
An Introduction to Genetic Algorithms for Scientists and Engineers
Robotics and Computer-Integrated Manufacturing
A genetic algorithm based strategy for redundancy resolution with multiple criteria
ICAI'08 Proceedings of the 9th WSEAS International Conference on International Conference on Automation and Information
WSEAS Transactions on Systems and Control
Iterative genetic algorithm based strategy for obstacles avoidance of a redundant manipulator
AMERICAN-MATH'10 Proceedings of the 2010 American conference on Applied mathematics
Hi-index | 0.00 |
This paper presents four different iterative strategies for obstacle avoidance of a redundant manipulator. The end-effector task consists in generating the references along the contour of a curve. The proposed strategies are iterative in the sense that the joint configuration computed in the previous step represents the current point around which the methods provide the next joint configuration corresponding to the imposed end-effector posture. The objective of the strategies is to simultaneously minimize the end-effector location error and the manipulator total joint displacement while the collision with the obstacle is avoided. The strategies are implemented using the Matlab software and the comparative simulation results are obtained for a planar redundant manipulator with four degrees of freedom and with its end-effector following the contour of a circle, whose surface is considered to be restrictive for all elements of the manipulator.