A cooperative motion control of 2-dof robot arms by neuro-evolved agents

Yingda Dai, Masami Konishi, Jun Imai

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

In the paper we propose the method of agent-based neural network model to enhance the behaviors and the communication functions of real planner two degrees of freedom (2-dof) robot arms. Each joint of the manipulator is respectively provided a learning method to optimize trajectory by training RNN model. The evolutionary process in our experiments is carried out entirely on the robot by the proposed controller without human intervention. In addition, the master/slave manipulator system is proposed. The slave arm cooperates with the master like the action of human. Each joint is controlled by the distributed subagent. The method is first evaluated on a relatively simple task and then on increasingly complex behaviors towards the goal tasks. Simulation results show the effectiveness of this approach, and that the proposed RNN model can successfully learning the inverse dynamics of robot manipulators, perform accurate tracking for a general trajectory.

Original languageEnglish
Title of host publicationSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007
PublisherIEEE Computer Society
Pages109-112
Number of pages4
ISBN (Print)0769528821, 9780769528823
DOIs
Publication statusPublished - 2007
Event2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007 - Kumamoto, Japan
Duration: Sep 5 2007Sep 7 2007

Publication series

NameSecond International Conference on Innovative Computing, Information and Control, ICICIC 2007

Other

Other2nd International Conference on Innovative Computing, Information and Control, ICICIC 2007
CountryJapan
CityKumamoto
Period9/5/079/7/07

ASJC Scopus subject areas

  • Computer Science(all)
  • Mechanical Engineering

Fingerprint Dive into the research topics of 'A cooperative motion control of 2-dof robot arms by neuro-evolved agents'. Together they form a unique fingerprint.

Cite this