Accession Number:

AD1089549

Title:

Predictive Models for Sensorimotor Control of Legged Locomotion

Descriptive Note:

Technical Report,01 May 2016,30 Apr 2019

Corporate Author:

University of Washington Seattle United States

Personal Author(s):

• Burden,Samuel

Report Date:

2019-08-05

Pagination or Media Count:

18.0

Abstract:

We propose to develop generalizable tools for deriving and applying simple models that provide accurate quantitative predictions for dynamic locomotion and self-manipulation behaviors executed by robots and animals. We are motivated by questions targeting the analytical, computational, and experimental foundation of modeling dynamic sensorimotor control.

Descriptors:

• LOCOMOTION
• PREDICTIVE MODELING
• FEEDBACK
• ROBOTS
• heuristic methods
• HYBRID SYSTEMS
• TRAJECTORIES
• ALGORITHMS

Subject Categories:

• Human Factors Engineering and Man Machine Systems

Distribution Statement:

APPROVED FOR PUBLIC RELEASE