DocumentCode
2537473
Title
Problem decomposition for assembly planning
Author
Vijaykumar, Rukmini ; Arbib, Michael A.
Author_Institution
University of Massachusetts, Amherst, MA
Volume
4
fYear
1987
fDate
31837
Firstpage
1361
Lastpage
1366
Abstract
Automatic planning of an assembly task suitable for execution by a robot system requires analysis of constraints arising from task and object geometry as well as constraints arising from the specific configuration of the robot system. This paper describes our current efforts toward building a high-level planner that plans robot assembly tasks while confining its attention to constraints arising from task and object characteristics. The robot itself is modelled in terms of its basic capabilities such as, grasp, free motion and certain fine-motion commands. The planner works from a specification of the assembly operations, the objects involved in the operations, and an incomplete geometric model of the objects. The assembly planning problem is viewed as comprising of the determination of positions and orientations of component objects relative to each other and the determination of the robot motion primitives required to achieve these relations. The paper discusses how we decompose the assembly planning problem to reflect this view, the intermediate representations used, and our current implementations by use of an example assembly task.
Keywords
Assembly systems; Computerized monitoring; Information science; Laboratories; Motion planning; Robot motion; Robot sensing systems; Robotic assembly; Robotics and automation; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics and Automation. Proceedings. 1987 IEEE International Conference on
Type
conf
DOI
10.1109/ROBOT.1987.1087744
Filename
1087744
Link To Document