Bruce Wingo
Papers
2
Total Citations
16
H-Index
2
About
Bruce Wingo is a roboticist whose research focuses on the intersection of nonlinear control theory and motion planning, particularly through the lens of Riemannian Motion Policies (RMPs). His work addresses fundamental challenges in synthesizing robust, real-time motion for complex robotic systems, including underactuated and dynamically unstable platforms. Wingo’s most-cited paper, “Extending Riemannian Motion Policies to a Class of Underactuated Wheeled-Inverted-Pendulum Robots” (2020, 13 citations), pioneers the application of RMPs—a framework more general than traditional operational space control—to systems like balancing robots, enabling them to execute agile, task-space-defined motions while maintaining stability. Building on this, his work “Adaptively Robust Control Policy Synthesis Through Riemannian Motion Policies” (2020) tackles a critical gap: ensuring RMPs remain effective under model uncertainty and external disturbances. By integrating adaptive control principles into the RMP geometry, Wingo advances the practicality of these policies for real-world deployment. Though early in his career, his contributions are shaping how researchers design safe, reactive behaviors for legged and wheeled robots, with implications for autonomous navigation and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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