Human computer cooperation in interactive motion planning
- 22 November 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 571-576
- https://doi.org/10.1109/icar.1997.620239
Abstract
This paper presents an interactive motion planning system that generates collision-free motions of robots or objects. The problem of planning collision-free motions has a high complexity, and most motion-planning programs often take a long time to plan motions when the environment is cluttered. Humans on the other use a set of learned heuristics to effortlessly plan collision-free motions, but do not have as good of an accuracy in geometric collision checking as the motion-planning programs. The proposed system provides the user with a facility to utilize the heuristic power of humans along with the algorithmic power and the geometric accuracy of motion-planning programs. More specifically, the user performs a global analysis of the environment and specifies robot's configurations (called subgoals) critical to finding a collision-free path, while a motion-planning program performs collision checking and finds a collision-free paths between subgoals. It has resulted in a system that is much more powerful and efficient than either a human or a computer algorithm in motion planning tasks. This system is expected to reduce motion planning time drastically for tele-operated robot manipulators and for verification of feasible part motions in mechanical assembly.Keywords
This publication has 11 references indexed in Scilit:
- Real-time obstacle avoidance for manipulators and mobile robotsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2005
- SANDROS: a motion planner with performance proportional to task difficultyPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2003
- The "Ariadne's clew" algorithm: global planning with local methodsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Sensory requirements and performance assessment of tele-presence controlled robotsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A Monte-Carlo algorithm for path planning with many degrees of freedomPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- A 7-DOF practical motion planner based on sequential framework: theory and experimentsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Probabilistic roadmaps for path planning in high-dimensional configuration spacesIEEE Transactions on Robotics and Automation, 1996
- Gross motion planning—a surveyACM Computing Surveys, 1992
- Motion planning with six degrees of freedom by multistrategic bidirectional heuristic free-space enumerationIEEE Transactions on Robotics and Automation, 1991
- Robot Motion PlanningPublished by Springer Nature ,1991