Sam Burden

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Associate Professor

University of Washington
Country flagUnited States

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About

Dr. Sam Burden is an Associate Professor at the University of Washington in the United States. His research interests encompass robotics, sensorimotor control, and the application of virtual reality in rehabilitation, as evidenced by his recent articles. He explores topics such as the interactions between animals and robots, the effects of handedness on motor learning, and state estimation in hybrid systems.

Recent Grants

Grant: Close

CAREER: Human/Machine Collaborative Learning and Control of Contact-Rich Dynamics

Open Date: 2021-08-15

Close Date: 2026-07-31

Grant: Close

NRI: FND: COLLAB: Design of dynamic multibehavioral robots: new tools to consider design tradeoff and enable more capable robotic systems

Open Date: 2019-09-15

Close Date: 2022-08-31

Grant: Close

CPS: Medium: Collaborative Research: Certifiable reinforcement learning for cyber-physical systems

Open Date: 2018-09-15

Close Date: 2022-08-31

Grant: Close

Collaborative Research: The Redshirt in Engineering Consortium

Open Date: 2016-09-01

Close Date: 2022-08-31

Grant: Close

CRII: CPS: Provably-safe Interventions for Human-Cyber-Physical Systems (HCPS)

Open Date: 2016-04-01

Close Date: 2018-09-30

Articles (7)

Animals are much better at running than robots. The difference in performance arises in the important dimensions of agility, range, and robustness. To understand the underlying causes for this performance gap, we compare natural and artificial technologies in the five subsystems critical for running: power, frame, actuation, sensing, and control. With few exceptions, engineering technologies meet or exceed the performance of their biological counterparts. We conclude that biology’s advantage over engineering arises from better integration of subsystems, and we identify four fundamental obstacles that roboticists must overcome. Toward this goal, we highlight promising research directions that have outsized potential to help future running robots achieve animal-level performance.

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2024

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2023

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2023

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2020

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2020

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2020

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2020

Collaborators (6)

Valerie E. Kelly

Associate Professor

University of Washington

UNITED STATES
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Kaushik Jayaram

Assistant Professor

University of Colorado Boulder

UNITED STATES
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Momona Yamagami

Assistant Professor

Rice University

UNITED STATES
View details

J. Maxwell Donelan

Simon Fraser University

CANADA
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Simon Sponberg

Associate Professor

Georgia Institute of Technology

UNITED STATES
View details

Lillian Ratliff

Assistant Professor

University of Washington

UNITED STATES
View details
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