DocumentCode :
2533680
Title :
An exploration of sensorless manipulation
Author :
Erdmann, Michael ; Mason, Matthew T.
Author_Institution :
Massachusetts Institute of Technology
Volume :
3
fYear :
1986
fDate :
31503
Firstpage :
1569
Lastpage :
1574
Abstract :
An autonomous robotic manipulator can reduce uncertainty in the locations of objects in either of two ways: by sensing, or by motion strategies. This paper explores the use of motion strategies to eliminate uncertainty, without the use of sensors. The approach is demonstrated within the context of a simple method to orient planar objects. A randomly oriented object is dropped into a tray. When the tray is tilted, the object can slide into walls, along walls, and into corners, sometimes with the effect of reducing the number of possible orientations. For some objects a sequence of tilting operations exists that leaves the object´s orientation completely determined. The paper describes an automatic planner that constructs such a tilting program, using a simple model of the mechanics of sliding. The planner has been implemented, the resulting programs have been executed using a tray attached to an industrial manipulator, and sometimes the programs work. The paper also explores the issue of sensorless manipulation, tray-tilting in particular, within the context of a formal framework first described by Lozano-Pérez, Mason, and Taylor [1984]. It is observed that sensorless motion strategies perform conditional actions using mechanical decisions in place of environmental inquiries.
Keywords :
Artificial intelligence; Azimuth; Books; Error correction; Intelligent robots; Laboratories; Manipulators; Robot sensing systems; Switches; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation. Proceedings. 1986 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBOT.1986.1087522
Filename :
1087522
Link To Document :
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