DocumentCode
1633910
Title
Semi-autonomous formation control of a single-master multi-slave teleoperation system
Author
Cheung, Yushing ; Chung, Jae H. ; Coleman, Norman P.
Author_Institution
Dept. of Mech. Eng., Stevens Inst. of Technol., Hoboken, NJ
fYear
2009
Firstpage
117
Lastpage
124
Abstract
The primary objective of this paper is to develop an adaptive formation control method for a team of mobile robotic agents, which implements formation control, obstacle avoidance, and operator induced error compensation for unconstrained motions. In this approach, a leader robot is selected and teleoperated by an operator and the follower robots are autonomously coordinated to make a formation to perform a variety of tasks such as searching and/or pursuing targets, reconnaissance, etc. The formation can be reconfigured to avoid collisions with stationary obstacles and among the member robots. The performance of the developed method was investigated through haptic simulations and experiments. In the simulation study, a haptic device was used as the master robot, and three virtual nonholonomic mobile platforms were employed. The developed method was implemented on two differentially driven Pioneer-AT platforms. Both studies demonstrated consistent performance of the semi-autonomous formation control method in the presence of time-varying communication delays, erroneous operator commands, and stationary obstacles.
Keywords
adaptive control; collision avoidance; delays; error compensation; mobile robots; telerobotics; time-varying systems; adaptive control; differentially driven Pioneer-AT platform; erroneous operator command; haptic device; haptic simulation; mobile robotic agent; obstacle avoidance; operator induced error compensation; semiautonomous formation control; single-master multislave teleoperation system; time-varying communication delay; unconstrained motion; virtual nonholonomic mobile platform; Adaptive control; Communication system control; Control systems; Error compensation; Haptic interfaces; Mobile robots; Motion control; Programmable control; Reconnaissance; Robot kinematics;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium on
Conference_Location
Nashville, TN
Print_ISBN
978-1-4244-2752-9
Type
conf
DOI
10.1109/CICA.2009.4982792
Filename
4982792
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