Botao Liu
Papers
4
Total Citations
78
H-Index
3
About
Botao Liu is a robotics researcher whose work centers on legged locomotion, bridging the gap between simulation and real-world deployment for quadruped and bipedal robots. His most impactful contribution is the design and control of a parallel quadruped robot capable of dynamic locomotion and perception-less terrain adaptation, a feat detailed in his 2022 paper (64 citations). This work introduced a symmetric leg design and powerful actuators for highly dynamic movement, coupled with a fast, reliable control method that allows the robot to adapt to uneven ground without relying on visual sensors. Liu has further advanced the field by developing a stable optimization control for high-speed bounding and jumping motions in quadrupeds, and by tackling the critical sim-to-real transfer problem for bipedal robots. His 2024 paper on safe and efficient auto-tuning for crossing the reality gap represents a significant step toward deploying reinforcement learning controllers on physical hardware. Additionally, his earlier work on gait transitions using Central Pattern Generators (CPGs) and impedance control addressed a key challenge in large-scale quadruped control. By combining robust mechanical design with intelligent control strategies, Liu is pushing the boundaries of what legged robots can achieve in unstructured environments.
Research Focus
Key Achievements
Top Papers
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