Mark Yeatman
Papers
2
Total Citations
7
H-Index
2
About
Mark Yeatman is a robotics researcher focused on the control of legged locomotion, particularly the stabilization and generation of dynamic walking gaits in bipedal robots. His major contributions lie at the intersection of passivity-based control and energy shaping—techniques that allow robots to walk with natural, efficient motion while maintaining robustness to disturbances. In his most-cited work (2021, 4 citations), Yeatman introduces a framework for using energy regulation to stabilize, generate, and transition between limit cycles in simple locomotive systems, enabling passive-like gaits through active control. His earlier paper (2018, 3 citations) generalizes passivity-based control by employing a state-varying energy storage function, making bipedal walking more resilient on uneven terrain. Though early in his career, Yeatman’s work is notable for bridging theoretical control theory with practical robotic walking, offering a path toward more adaptable and energy-efficient legged robots. His research is particularly relevant for students and engineers interested in nonlinear control, hybrid systems, and bio-inspired robotics.
Research Focus
Key Achievements
Top Papers
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