Automatic Synthesis of Fine-Motion Strategies for Robots

Author:

Lozano-Pérez Tomás1,Mason Matthew T.2,Taylor Russell H.3

Affiliation:

1. Department of Electrical Engineering and Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology Cambridge, Massachusetts 02139

2. Department of Computer Science and Robotics Institute Carnegie-Mellon University Pittsburgh, Pennsylvania 15213

3. IBM Thomas J. Watson Research Center Yorktown Heights, New York 10598

Abstract

Active compliance enables robots to carry out tasks in the presence of significant sensing and control errors. Compliant motions are quite difficult for humans to specify, however. Furthermore, robot programs are quite sensitive to details of geometry and to error characteristics and must, therefore, be constructed anew for each task. These factors motivate the search for automatic synthesis tools for robot program ming, especially for compliant motion. This paper describes a formal approach to the synthesis of compliant-motion strategies from geometric descriptions of assembly operations and explicit estimates of errors in sensing and control. A key aspect of the approach is that it provides criteriafor correct ness of compliant-motion strategies.

Publisher

SAGE Publications

Subject

Applied Mathematics,Artificial Intelligence,Electrical and Electronic Engineering,Mechanical Engineering,Modelling and Simulation,Software

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