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Proceedings Paper

Intelligent control of a simulated running jointed leg
Author(s): Peggy Israel Doerschuk; Vihn Nguyen; Mani Venkatesh; Faqiang Kwong; Andrew Li
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Paper Abstract

We present a modular approach to intelligent control of a simulated jointed leg in performing the task of running. The modular controller learns from experience to generate the appropriate control signals. We focus on the control of a single running stride. Separate controllers are used for each of three phases of the stride. A neurofuzzy takeoff controller produces torques which are applied at the leg joints while the foot is on the ground. It controls the height, distance and angular momentum of the stride. Once the foot leaves the ground, a neural network based controller is used to control the movement of the leg during the ballistic phase. This controller moves the joints along a planned trajectory which avoids obstacles, if any, and places the leg in an appropriate configuration for landing. When the foot touches the ground, a neural network based landing controller takes over. It is designed to produce control torques which will move the leg into a crouched position suitable for takeoff of the next stride. Results achieved by the takeoff and ballistic controllers are presented here. Very accurate control is achieved for simple strides of different sizes and strides which involve scaling an obstacle.

Paper Details

Date Published: 23 January 1997
PDF: 8 pages
Proc. SPIE 2903, Mobile Robots XI and Automated Vehicle Control Systems, (23 January 1997); doi: 10.1117/12.265333
Show Author Affiliations
Peggy Israel Doerschuk, Lamar Univ. (United States)
Vihn Nguyen, Slumberger Anadrill (United States)
Mani Venkatesh, Lamar Univ. (United States)
Faqiang Kwong, Lamar Univ. (United States)
Andrew Li, Eastman Technology Systems (United States)

Published in SPIE Proceedings Vol. 2903:
Mobile Robots XI and Automated Vehicle Control Systems
Chase H. Kenyon; Pushkin Kachroo, Editor(s)

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