DocumentCode
382852
Title
A tractable convergent dynamic window approach to obstacle avoidance
Author
Ögren, Petter ; Leonard, Naomi E.
Author_Institution
Optimization & Syst. Theor., R. Inst. of Technol., Stockholm, Sweden
Volume
1
fYear
2002
fDate
2002
Firstpage
595
Abstract
The dynamic window approach is a well known navigation scheme developed by Fox et. al. (1997) and extended by Brock and Khatib (1999). It is safe by construction and has been shown to perform very efficiently in experimental setups. However, one can construct examples where the proposed scheme fails to attain the goal configuration. What has been lacking is a theoretical treatment of the algorithm´s convergence properties. A first step towards such a treatment was previously presented by the authors (2002). Here we continue that work with a computationally tractable algorithm resulting from a careful discretization of the optimal control problem of the previous paper and a way to construct a continuous navigation function. Inspired by the similarities between the dynamic window approach and the control Lyapunov function and receding horizon control synthesis put forth by Primbs et. al. (1999) we propose a version of the dynamic window approach that is tractable and provably convergent.
Keywords
Lyapunov methods; collision avoidance; computational complexity; control system synthesis; convergence; mobile robots; optimal control; predictive control; computationally tractable algorithm; continuous navigation function; control Lyapunov function; dynamic window approach; obstacle avoidance; optimal control problem; provably convergent method; receding horizon control synthesis; tractable convergent dynamic window approach; Aerodynamics; Aerospace engineering; Control system synthesis; Force control; Kinematics; Mobile robots; Motion planning; Navigation; Robot motion; Robot sensing systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 2002. IEEE/RSJ International Conference on
Print_ISBN
0-7803-7398-7
Type
conf
DOI
10.1109/IRDS.2002.1041456
Filename
1041456
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