Predictive Models for Sensorimotor Control of Legged Locomotion
Technical Report,01 May 2016,30 Apr 2019
University of Washington Seattle United States
Pagination or Media Count:
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.
- Human Factors Engineering and Man Machine Systems