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 October, 1995.

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Document Details

Document Type
Technical Report
Publication Date
Oct 27, 1995
Accession Number
ADA312263

Entities

People

  • W. T. Miller Iii

Organizations

  • University of New Hampshire

Tags

Communities of Interest

  • Air Platforms
  • Autonomy

DTIC Thesaurus Topics

  • Abstracts
  • Buildings And Structures
  • Computers
  • Data Rate
  • Engineering
  • Geometry
  • Information Operations
  • Locomotion
  • Maneuverability
  • Mechanical Structure
  • Military Research
  • Modulation
  • Neural Networks
  • New Hampshire
  • Robots
  • Simulators
  • Two Dimensional

Readers

  • Robotics and Automation.

Technology Areas

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