Title :
Cooperative hunting by distributed mobile robots based on local interaction
Author :
Cao, Zhiqiang ; Tan, Min ; Li, Lei ; Gu, Nong ; Wang, Shuo
Author_Institution :
Inst. of Autom., Acad. Sinica, Beijing, China
fDate :
4/1/2006 12:00:00 AM
Abstract :
This paper proposes a distributed control approach called local interactions with local coordinate systems (LILCS)to multirobot hunting tasks in unknown environments, where a team of mobile robots hunts a target called evader, which will actively try to escape with a safety strategy. This robust approach can cope with accumulative errors of wheels and imperfect communication networks. Computer simulations show the validity of the proposed approach.
Keywords :
distributed control; mobile robots; multi-robot systems; accumulative wheel errors; cooperative hunting; distributed control; distributed mobile robots; evader target; imperfect communication networks; local coordinate systems; local interaction; multirobot hunting tasks; safety strategy; unknown environments; Communication networks; Computer errors; Foot; Mobile robots; Robot kinematics; Runtime; Shape; Springs; Video sequences; Wheels; Distributed control; hunting; local interaction; mobile robots;
Journal_Title :
Robotics, IEEE Transactions on
DOI :
10.1109/TRO.2006.862495