A reactive architecture for planning and executing robot motions with incomplete knowledge

This paper describes a type of contingency-tolerant navigation system for an autonomous mobile robot performing transportation tasks in an office-like environment. A prior model of the environment is available, but this model is incomplete. The system combines a planning component that makes use of the available knowledge to plan a lesser-committed motion plan and a reaction component that pilots the robot according to this plan through the unexpected obstacles detected by the robot's sensors. These two components embody practical answers to several important questions such as what a lesser-committed motion plan is, how it can be represented and used; and how computations should be organized so that the most common situations are handled quickly. The navigation system described has been implemented and a robot called GOFER tested on.<<ETX>>

[1]  Daniel E. Koditschek,et al.  Exact robot navigation in geometrically complicated but topologically simple spaces , 1990, Proceedings., IEEE International Conference on Robotics and Automation.

[2]  Oussama Khatib,et al.  Real-Time Obstacle Avoidance for Manipulators and Mobile Robots , 1986 .

[3]  Jean-Claude Latombe,et al.  New heuristic algorithms for efficient hierarchical path planning , 1991, IEEE Trans. Robotics Autom..

[4]  Jean-Claude Latombe,et al.  Contingency-Tolerant Robot Motion Planning and Control , 1989, Proceedings. IEEE/RSJ International Workshop on Intelligent Robots and Systems '. (IROS '89) 'The Autonomous Mobile Robots and Its Applications.

[5]  Jean-Claude Latombe,et al.  Robot Motion Planning: A Distributed Representation Approach , 1991, Int. J. Robotics Res..

[6]  Rodney A. Brooks,et al.  A subdivision algorithm in configuration space for findpath with rotation , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[7]  Mark Yim,et al.  Indoor automation with many mobile robots , 1990, EEE International Workshop on Intelligent Robots and Systems, Towards a New Frontier of Applications.

[8]  Bruce H. Krogh,et al.  Integrated path planning and dynamic steering control for autonomous vehicles , 1986, Proceedings. 1986 IEEE International Conference on Robotics and Automation.

[9]  V. Lumelsky,et al.  Algorithmic issues of sensor-based robot motion planning , 1987, 26th IEEE Conference on Decision and Control.

[10]  J. Latombe,et al.  On nonholonomic mobile robots and optimal maneuvering , 1989, Proceedings. IEEE International Symposium on Intelligent Control 1989.