15th Triennial World Congress of the International Federation of Automatic Control
  Barcelona, 21–26 July 2002 
A PROVABLY CONVERGENT DYNAMIC WINDOW APPROACH TO OBSTACLE AVOIDANCE
Petter Ögren* Naomi E. Leonard**
* Division of Optimization and Systems Theory, Royal
Institute of Technology (KTH), SE-100 44, Stockholm,
SWEDEN
** Department of Mechanical and Aerospace Engineering,
Princeton University, Princeton, NJ 08544, USA
petter@math.kth.se

The dynamic window approach is a well known navigation scheme developed by Fox, Burgard and Thrun and extended by Brock and Khatib. 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. Here we present such a treatment. Furthermore, we highlight the similarity between the Dynamic Window Approach and the Control Lyapunov Function and Receding Horizon Control synthesis put forth by Primbs, Nevestic and Doyle. Inspired by these similarities we propose a version of the Dynamic Window Approach that is provably convergent.
Keywords: Mobile Robots, Obstacle Avoidance, Predictive Control, Lyapunov Function
Session slot T-Tu-M03: Mobile Robot Guidance, Navigation, and Control/Area code 1d : Robotics