Joshua Smith
Papers
10
Total Citations
165
H-Index
8
About
Joshua Smith is a leading researcher in legged robotics and physical human-robot interaction, with a focus on enabling robots to operate safely and effectively in unstructured, real-world environments. His major contributions span model-based hierarchical control for legged systems subject to external disturbances, impedance-based multi-robot collaboration, and novel approaches to whole-body control for inspection and intervention tasks. Smith’s work has garnered over 165 citations, with his most cited paper, “A Model-Based Hierarchical Controller for Legged Systems Subject to External Disturbances” (37 citations), establishing foundational methods for compliant locomotion. He has also pioneered techniques in bounded haptic teleoperation for quadruped robots and fractal impedance for passive controllers, advancing the field’s ability to merge autonomy with human oversight. Notably, his research on adversarial generation of informative trajectories for dynamics system identification demonstrates innovative thinking in optimizing robot performance. Smith’s achievements include developing frameworks that bridge the gap between industrial deployment and human-robot coexistence, making him a key figure in the next generation of versatile, safe robotic systems.
Research Focus
Key Achievements
Top Papers
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- 5Fractal Impedance for Passive Controllers12 citations · 2019
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- 9Online Dynamic Trajectory Optimization and Control for a Quadruped Robot6 citations · 2021
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