Paper
9 May 2006 Initial conditions of a simple passive-dynamic walker
Brooke Haueisen, Greg Hudas, Greg Hulbert, Kyle Nebel
Author Affiliations +
Abstract
Walking robots hold great potential for the future of military robotics. Their natural agility in rough, unstructured terrain make them ideal for military applications but their power requirements do not. Passive dynamic walkers offer a potentially low-power solution. This class of legged robots utilize the natural inverted pendular dynamics that humans rely on to locomote. The most basic of these systems uses gravity as its power source and has no control system therefore its stability is heavily reliant on its initial conditions. The VICON Motion Capture System was used to record the motions of Coleman and Ruina's1 TinkertoyWalker© . The initial angles and angular velocities of the various trials were extracted from the motion capture data and used as inputs to a multi-body dynamics model of the walker. The model was created to provide insight into passive-dynamic walkers and the interactions between the walker and the ground surface. Several trials were performed to quantify the stability space of the experimental walker and improve the correlation of the dynamics model to the physical robot.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brooke Haueisen, Greg Hudas, Greg Hulbert, and Kyle Nebel "Initial conditions of a simple passive-dynamic walker", Proc. SPIE 6230, Unmanned Systems Technology VIII, 623028 (9 May 2006); https://doi.org/10.1117/12.666075
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Motion models

Robots

Systems modeling

Data modeling

Cameras

Control systems

Defense technologies

RELATED CONTENT

Volumetric apparel for visible female
Proceedings of SPIE (March 16 2000)
Friction effects on large gimbaled EO directors
Proceedings of SPIE (May 10 2007)
Trust method for multi-agent consensus
Proceedings of SPIE (May 17 2012)

Back to Top