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Accession Number:

AD1089549

Title:

Predictive Models for Sensorimotor Control of Legged Locomotion

Author(s):

• Burden, Samuel

Author Organization(s):

• University of Washington

Report Date:

2019-08-05

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.

Document Type:

Conference:

Journal:

Pages:

18

File Size:

1.59MB

Contracts:

Grants:

Descriptors:

Identifiers:

• locomotion mechanics

SubjectCategory:

• Biotechnology

Communities of Interest:

• Autonomy

Distribution Statement:

Approved For Public Release

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