Papers
22
Total Citations
222
H-Index
7
About
Anhuan Xie is a leading researcher in bio-inspired robotics and legged locomotion, with a focus on enabling autonomous systems to navigate and move with unprecedented agility and robustness. Xie's work bridges nature-inspired algorithms and advanced control theory, most notably through a bio-inspired path planning algorithm for UAVs that mimics plant growth mechanisms—phototropism, negative geotropism, and branching—to achieve dynamic 3D obstacle avoidance (79 citations). In bipedal robotics, Xie has made seminal contributions to robust locomotion, including a hybrid framework combining reinforcement learning with heuristics for agile bipedal walking (18 citations) and a proprioceptive-based whole-body disturbance rejection controller that allows legged robots to self-perceive and resist external forces (15 citations). Xie also introduced an energy-based stability criterion for gait optimization (11 citations) and developed learning-based humanoid locomotion with motor adaptation for uneven terrain (14 citations). Notable achievements include the design of the rotor-assisted folding-leg robot KOU, which enhances mobility and stability through novel actuation. With over 180 total citations across ten key papers, Xie's work is shaping the future of autonomous, resilient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Review: Robust Locomotion for Biped Humanoid Robots18 citations · 2020
- 3Hybrid Bipedal Locomotion Based on Reinforcement Learning and Heuristics18 citations · 2022
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- 9Design of a High-torque Robot Joint and Its Control System5 citations · 2022
- 10Design and Control of the Rotor-Assisted Planar Folding-Leg Robot KOU5 citations · 2024