Papers
5
Total Citations
1,363
H-Index
5
About
Tomas de Boer is a leading roboticist whose work has fundamentally shaped how legged robots walk, balance, and recover from disturbances. His primary research focuses on the dynamics and control of bipedal locomotion, with landmark contributions in capturability analysis and momentum-based control. In his highly cited two-part paper (over 740 combined citations), de Boer introduced the concept of "N-step capturability"—a formal framework for determining whether a legged robot can stop without falling by taking a limited number of steps. This theory provides a rigorous, practical foundation for designing fall-prevention strategies. He further advanced the field by co-developing a momentum-based control framework for the humanoid robot Atlas, published in 2016 (255 citations), which uses a quadratic program to seamlessly balance multiple motion tasks. As a key member of Team IHMC, de Boer contributed to their success in the DARPA Robotics Challenge, sharing critical lessons learned (242 citations) that guided the entire humanoid robotics community. His earlier work on "Limit Cycle Walking" (124 citations) also helped liberate bipedal robots from the constraint of instantaneous static balance, paving the way for more efficient and dynamic gaits.
Research Focus
Key Achievements
Top Papers
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- 4Team IHMC's Lessons Learned from the DARPA Robotics Challenge Trials242 citations · 2015
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