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Jonathan Hurst
320 Graf Hall
Corvallis, OR 97331
United States
About
Biography
Jonathan W. Hurst is a Professor of Robotics, co-founder of the Oregon State University Robotics Institute, and Chief Technology Officer and co-founder of Agility Robotics. He holds a B.S. in mechanical engineering and an M.S. and Ph.D. in robotics, all from Carnegie Mellon University.
His university research focuses on understanding the fundamental science and engineering best practices for legged locomotion. Investigations range from numerical studies and analysis of animal data, to simulation studies of theoretical models, to designing, constructing, and experimenting with legged robots for walking and running, and more recently, using machine learning techniques merged with more traditional control to enable highly dynamic gaits.
Agility Robotics is extending this research to commercial applications for robotic legged mobility, working towards a day when robots can go where people go, generate greater productivity across the economy, and improve quality of life for all.
He has been at Oregon State University since 2008.
Degrees
Awards/Accolades
Documents
Research
Research Interests
Hurst's research focuses on understanding the fundamental science and engineering best practices for legged locomotion. Investigations range from numerical studies and analysis of animal data, to simulation studies of theoretical models, to designing, constructing, and experimenting with legged robots for walking and running, and more recently, using machine learning techniques merged with more traditional control to enable highly dynamic gaits.
Research Groups
Research Website
Labs
Publications
Hurst, J. (2019, February). Building robots that can go where we go. IEEE Spectrum.
Hubicki, C., Abate, A., Clary, P., Rezazadeh, S., Jones, M., Peekema, A., Van Why, J., Domres, R., Wu, A., Martin, W., Geyer, H., & Hurst, J. (2018). Walking and running with passive compliance. IEEE Robotics and Automation Magazine, 25(3), 40–46.
Hubicki, C., Jones, M., Daley, M. A., & Hurst, J. W. (2015). Do limit cycles matter in the long run? Stable orbits and sliding-mass dynamics emerge in task-optimal locomotion. In 2015 IEEE International Conference on Robotics and Automation (ICRA) (pp. 5113–5120). IEEE.
Birn-Jeffery, A. V., Hubicki, C. M., Blum, Y., Renjewski, D., Hurst, J. W., & Daley, M. A. (2014). Don't break a leg: Running birds from quail to ostrich prioritise leg safety and economy on uneven terrain. Journal of Experimental Biology, 217(21), 3786–3796.