Gaze Controls with Interactions and Delays

Abstract

Five control systems loosely corresponding to primate saccadic, vergence, pursuit, vestibulo-ocular, and head control operate on a simulated two-eyed robot head maneuvered by a robot arm. The goal is to get some qualitative understanding of the interaction of such reflexes under various assumptions. The simulation is meant to be relevant to U. Rochester's robot. Thus it incorporates kinematics of the robot head but assumes a 'tool- coordinate' system available to robot arm commands, so that arm kinematic calculations are unnecessary. Dynamics are not modeled, since they are handled by the commercial controllers currently used in the Rochester robot. Even small delays render the effect of delay-free controllers unstable, but multi-delay version of a Smith predictor can cope with delays. If each controller acts on the predicted system and ignores other controllers, the situation is improved but still potentially unstable if controllers with different delays act on the same control output. The system's performance is much improved if controllers consider the effect of other controllers, and the resulting system is stable in the presence of a certain amount of stochastic disturbance of control delays and inputs, and also in the presence of systematic error arising from inaccurate plant and world models. Keywords: Adaptive control systems.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA214286

Entities

People

  • Christopher M. Brown

Organizations

  • University of Rochester

Tags

Communities of Interest

  • Autonomy
  • Cyber

DTIC Thesaurus Topics

  • Adaptive Control Systems
  • Air Force
  • Algorithms
  • Artificial Intelligence
  • Closed Loop Systems
  • Computer Science
  • Computer Vision
  • Computers
  • Control Systems
  • Coordinate Systems
  • Eye Movements
  • Feedback
  • Kinematics
  • Security
  • Simulations
  • Simulators
  • Three Dimensional

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • Autonomy
  • Autonomy - Autonomous System Control