In Search of Efficient Walking Robots

Abstract

With the recent conflicts in Afghanistan and Iraq, it is increasingly evident that the demands of warfare are changing and the need for innovative mobility systems is growing. In the rough, unstructured terrain that the soldiers encounter, they have reverted to using mules and donkeys to move stealthily and quickly. In light of the growing need for autonomous systems, the Army is looking at the possibility of legged mobility options such as gasoline powered quadrupeds to traverse the off-road terrain. As technology advances, the era of military bipeds may well be in sight. However, current bipedal robotic technology is far too inefficient for battlefield use. Much of this inefficiency stems from actuated control of each limb's motion throughout the entire gait cycle. An alternative approach is to exploit the passive pendular dynamics of legs and legged bodies for energy savings. This paper compares and contrasts fully-actuated walking with passive walking. Simulations of passive and quasi-passive walking are analyzed to evaluate their stability regions and their initial responses on uneven terrain functions are compared.

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Document Details

Document Type
Technical Report
Publication Date
Jan 10, 2005
Accession Number
ADA477969

Entities

People

  • Brooke Haueisen
  • Greg Hudas
  • Greg Hulbert
  • James Overholt
  • Paul Muench
  • Peter G. Adamczyk

Organizations

  • Tank-automotive and Armaments Command

Tags

Communities of Interest

  • Autonomy
  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Actuators
  • Assembly Lines
  • Differential Equations
  • Dynamics
  • Equations
  • Equations Of Motion
  • Fuel Efficiency
  • Intellectual Property
  • Law
  • Machines
  • Mechanics
  • Models
  • Pendulums
  • Power Supplies
  • Robots
  • Simulations

Readers

  • Economics
  • Maritime Combat Support and Expeditionary Logistics.
  • Robotics and Automation.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy