Papers
12
Total Citations
313
H-Index
10
About
Michael Hardt is a leading researcher in the field of legged robotics and nonlinear dynamical systems, with a focus on the modeling, optimal control, and hardware realization of bipedal and quadrupedal robots. His major contributions center on developing efficient numerical methods to solve the "curse of dimensionality" in high-dimensional mechanical systems, particularly for generating energy-optimal, dynamically stable gaits. Hardt's seminal work on optimal biped walking, which solved the problem of symmetric, periodic minimum-energy gaits for a 5-link biped robot, has garnered over 53 citations and remains a foundational reference in the field. His 2002 paper on nonlinear hybrid dynamical systems, with 94 citations, introduced key frameworks for modeling and controlling complex mechanical systems, with applications ranging from jet engine compressors to humanoid locomotion. Hardt also made notable contributions to hardware design, including the development of a small, fast-moving autonomous humanoid robot with 17 degrees of freedom, where actuator selection was optimized through detailed multibody dynamics. His work has been instrumental in bridging theoretical optimal control with practical robot design, influencing subsequent research in dynamic walking and running.
Research Focus
Key Achievements
Top Papers
- 1
- 2Optimal biped walking with a complete dynamical model53 citations · 2003
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- 7Towards optimal hybrid control solutions for gait patterns of a quadruped20 citations · 2000
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- 10Research and development towards an autonomous biped walking robot10 citations · 2004