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A machine learning algorithm for automated assembly

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2 Author(s)
Vaaler, E.G. ; A.I. Lab., MIT, Cambridge, MA, USA ; Seering, W.P.

A primary source of difficulty in automated assembly is the uncertainty in the relative position of the parts being assembled. This study focuses on a machine learning approach for solving the problem. Force sensor information, responses to recent moves and results from previous assemblies are used to generate a set of production rules. These rules govern the motion of the robot during the assembly process

Published in:

Robotics and Automation, 1991. Proceedings., 1991 IEEE International Conference on

Date of Conference:

9-11 Apr 1991