Automatic Synthesis of Fine-Motion Strategies for Robots

Tomás Lozano-Pérez, Matthew T. Mason, Russell H. Taylor

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)3-24
Number of pages22
JournalThe International Journal of Robotics Research
Volume3
Issue number1
DOIs
StatePublished - Mar 1984
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Mechanical Engineering
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Applied Mathematics

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