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About

Liheng Mao is a robotics researcher specializing in the locomotion and design of multi-legged robots, particularly hexapods, operating in complex, unstructured environments. His work addresses fundamental challenges in legged robotics, including terrain adaptability, stability, and real-world interaction. Mao’s major contributions include developing a novel method to prevent shin-collisions in six-legged robots by utilizing a robot–terrain interference model (32 citations), and introducing a gait-switching method for navigating continuous-nondifferentiable terrain based on stability and interference criteria (23 citations). He has also advanced the field through staircase-climbing capability-based dimensional synthesis, determining optimal leg lengths and body dimensions for overcoming architectural obstacles like stairs (18 and 7 citations). Additionally, Mao has created a real-time, low-computation-cost human-following framework for legged robots in outdoor environments (18 citations). His research bridges theoretical design principles with practical locomotion strategies, enabling hexapod robots to traverse challenging terrains with greater efficiency and safety. With a growing citation record, Mao’s work is influential for students and researchers in field robotics, bio-inspired design, and autonomous navigation.