Adaptive Dynamic Balance of Two and Four Legged Walking Robots.

Abstract

Two legged and four legged walking are the most versatile forms of land locomotion in the sense of maneuverability and the ability to traverse irregular terrain. Unfortunately, the problem of practical bipedal walking with dynamic balance has so far eluded solution using classical and other control techniques. We have been investigating the use of neural networks for on-line gait modulation during walking, using a 10 degree of freedom biped robot and a 20 degree of freedom quadruped robot developed in our laboratory. The research in the current project involves extending our adaptive walking control architecture, developed in prior research, to provide good performance over a wider range of stepping lengths and rates, and to provide good stability during both minor and significant deviations from nominal behavior. This should result in a truly practical control structure for walking with dynamic balance. This is a project progress report for the research carried our prior to June, 1996.

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Document Details

Document Type
Technical Report
Publication Date
Jun 30, 1996
Accession Number
ADA324602

Entities

People

  • W. T. Miller Iii

Organizations

  • University of New Hampshire

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence Computing
  • Artificial Intelligence Software
  • Buildings And Structures
  • Classification
  • Joints (Anatomy)
  • Learning
  • Locomotion
  • Military Research
  • Modulation
  • Neural Networks
  • New Hampshire
  • Reinforcement Learning
  • Research Facilities
  • Robots
  • Simulations
  • Simulators
  • Trajectories

Readers

  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Machine Learning Algorithms
  • Autonomy
  • Autonomy - Autonomous System Control