Robot motion planning with uncertainty in the geometric models of the robot and environment: A formal framework for error detection and recovery
- 1 January 1986
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 3, 1588-1593
- https://doi.org/10.1109/robot.1986.1087480
Abstract
This paper addresses robot motion planning with uncertainty in sensing, control, and the geometric models of the robot and environment. To this end, a formal framework for error detection and recovery is proposed.Keywords
This publication has 11 references indexed in Scilit:
- Automatic planning of fine motions: Correctness and completenessPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- Using Backprojections for Fine Motion Planning with UncertaintyThe International Journal of Robotics Research, 1986
- Collision Detection for Moving PolyhedraPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Robot motion planning with uncertainty in the geometric models of the robot and environment: A formal framework for error detection and recoveryPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1986
- Automatic Synthesis of Fine-Motion Strategies for RobotsThe International Journal of Robotics Research, 1984
- Spatial Planning: A Configuration Space ApproachIEEE Transactions on Computers, 1983
- Symbolic Error Analysis and Robot PlanningThe International Journal of Robotics Research, 1982
- Compliance and Force Control for Computer Controlled ManipulatorsIEEE Transactions on Systems, Man, and Cybernetics, 1981
- Mathematical Methods of Classical MechanicsPublished by Springer Nature ,1978
- Strips: A new approach to the application of theorem proving to problem solvingArtificial Intelligence, 1971