Papers
21
Total Citations
564
H-Index
9
About
Gray C. Thomas is a robotics researcher whose work spans humanoid robot control, legged locomotion, wearable exoskeletons, and compliant actuation systems. He is perhaps best known for his contributions to momentum-based control frameworks for floating-base robots, most notably his highly cited 2016 paper on the humanoid robot Atlas (255 citations), which introduced a quadratic programming approach to reconcile competing motion tasks — a foundational contribution to whole-body control in robotics. His early career also included prize-winning work on the DARPA Virtual Robotics Challenge as part of Team IHMC (86 citations), demonstrating real-world impact in disaster-response robotics. Thomas has made significant theoretical advances in series-elastic actuator control, biped locomotion stability, and operational space control for point-foot robots, reflecting a deep interest in bridging mathematical rigor with physical hardware. More recently, his research has expanded into assistive wearable technology, including a versatile knee exoskeleton designed to reduce quadriceps fatigue across occupational tasks (38 citations) and novel spring architectures for compliant robots. Across his career, Thomas's work consistently addresses the challenge of making robots simultaneously safe, dynamic, and adaptable — qualities essential for machines operating alongside humans.
Research Focus
Key Achievements
Top Papers
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- 2Summary of Team IHMC's virtual robotics challenge entry86 citations · 2013
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- 7An Energy-Dense Two-Part Torsion Spring Architecture and Design Tool9 citations · 2023
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