A Computational Model of Motor Behavior

Abstract

Generating even simple motor behavior using artificial manipulators has proven to be a very difficult task. A computational model of motor behavior is presented that assumes three inputs: a limb to carry out motor commands, a viewer-centered schema describing the desired behavior, and a sensory-motor interface allowing two-way communication between the agent and the environment. A motor schema is defined as a memory structure containing a few positions from the trace of a movement. The model then produces intervening points between those in the schema. A viewer-centered schema is transformed into its dual representation, facilitating execution of the desired movement on the limb. These two forms of a schema represent the same points in three-dimensional space, but behave in ways which have important differences when they are acted upon by the model. Our model accounts for a number of phenomena from the literature, including the speed/accuracy tradeoff, and the closed and open loop distinction. The model suggests directions for further experimentation. Keywords: Computational models, Artificial intelligence, Cognitive science, Motor schema.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1987
Accession Number
ADA191179

Entities

People

  • Pat Langley
  • Wayne Iba

Organizations

  • University of California, Irvine

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Classification
  • Cognition
  • Cognitive Science
  • Computer Science
  • Control
  • Control Systems
  • Coordinate Systems
  • Joints
  • Joints (Anatomy)
  • Military Research
  • Motor Skills
  • New Jersey
  • Psychology
  • Security
  • Social Sciences

Fields of Study

  • Psychology

Readers

  • Robotics and Automation.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.
  • Theoretical Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Space
  • Space - Spacecraft Maneuvers