Howie Choset
Howie Choset researches robot design, motion planning and estimation. His group develops articulated robots and planning methods for complex physical environments. Choset’s work at CMU includes snake robots that use their shape and many joints to reach constrained spaces. Applications include search and rescue, manufacturing and research on minimally invasive surgery. His work includes motion planners that coordinate internal joints to produce locomotion. Choset and Jeff Schneider studied multi-objective learning for gait parameters. With Chao Cao, Hongbiao Zhu and Ji Zhang, Choset co-authored TARE at RSS 2021. TARE uses a hierarchical framework for efficient exploration of complex 3D environments.
- Works
- 672
- Citations
- 22,974
- h-index
- 67
Publication numbers from OpenAlex, as of 14 October 2026.
Timeline
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2021
Hierarchical exploration
With Chao Cao, Hongbiao Zhu and Ji Zhang, Choset co-authored TARE at RSS 2021. TARE uses a hierarchical framework for efficient exploration of complex 3D environments.
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As of October 2026
Articulated robot systems
Choset’s work at CMU includes snake robots that use their shape and many joints to reach constrained spaces. Applications include search and rescue, manufacturing and research on minimally invasive surgery.
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As of October 2026
Planning and learning robot motion
His motion planners coordinate internal joints to produce locomotion. Choset and Jeff Schneider studied multi-objective learning for gait parameters.
Sources and credits
Photo: www.ri.cmu.edu; creator not stated. License: Not stated by source. Source: ri.cmu.edu. Cropped to a square and resized. Ask us to remove or replace this photo.