DocumentCode
3329070
Title
Layered framework for formation control of multiple mobile robots - a state based approach
Author
Kuppan, C.R.M. ; Singaperumal, M. ; Nagarajan, T.
Author_Institution
Mech. Eng. Dept., Indian Inst. of Technol., Chennai
fYear
2009
fDate
22-25 Feb. 2009
Firstpage
2067
Lastpage
2072
Abstract
In this paper, a software modelling and a layered framework for controlling multiple mobile robots in a leader-follower formation is proposed. The supervisor level in the framework handles the higher level missions such as formation and interobot communication, and the lower level deals with the dynamic control of robots while navigating the environment. Dynamic switching control strategy between behaviours and robots for formation keeping and active obstacle avoidance are incorporated. This allows the robots to trade their roles between them and serves to avoid obstacle while maintaining the desired formation. A novel state based modelling framework based on the relative motion states of the robots using augmented finite state machine (AFSM) concept is also presented in this paper. Performance of this approach is investigated through state based simulations via simulink/stateflow and the results are discussed.
Keywords
collision avoidance; control engineering computing; finite state machines; mobile robots; multi-robot systems; robot dynamics; active obstacle avoidance; augmented finite state machine; dynamic switching control; formation control; leader-follower formation; multiple mobile robot; software modelling; state based modelling; Automata; Biomimetics; Communication switching; Communication system control; Mobile robots; Navigation; Precision engineering; Robot control; Robot kinematics; Robot sensing systems; Behaviour-based control; Formation control; Non holonomic Mobile robots; State-based modelling;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Biomimetics, 2008. ROBIO 2008. IEEE International Conference on
Conference_Location
Bangkok
Print_ISBN
978-1-4244-2678-2
Electronic_ISBN
978-1-4244-2679-9
Type
conf
DOI
10.1109/ROBIO.2009.4913320
Filename
4913320
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