Design, Implementation, and Cooperative Coevolution of an Autonomous/ Teleoperated Control System for a Serpentine Robotic Manipulator
Neural and Evolutionary Computing
2019-08-19 v1 Robotics
Abstract
Design, implementation, and machine learning issues associated with developing a control system for a serpentine robotic manipulator are explored. The controller developed provides autonomous control of the serpentine robotic manipulatorduring operation of the manipulator within an enclosed environment such as an underground storage tank. The controller algorithms make use of both low-level joint angle control employing force/position feedback constraints, and high-level coordinated control of end-effector positioning. This approach has resulted in both high-level full robotic control and low-level telerobotic control modes, and provides a high level of dexterity for the operator.
Keywords
Cite
@article{arxiv.0706.1061,
title = {Design, Implementation, and Cooperative Coevolution of an Autonomous/ Teleoperated Control System for a Serpentine Robotic Manipulator},
author = {Donald Sofge and Gerald Chiang},
journal= {arXiv preprint arXiv:0706.1061},
year = {2019}
}