Liu Chengju

Tongji University, National Natural Science Foundation of China

Papers

Total Citations

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About

Dr. Chengju Liu is a leading researcher in robotics, specializing in autonomous navigation, bipedal locomotion, and humanoid robot control. Her work addresses fundamental challenges in enabling robots to operate reliably in complex, dynamic environments. Dr. Liu’s major contributions include pioneering the dual-channel unscented particle filter (DC-UPF) for robust self-localization in highly dynamic settings, a method that overcomes the computational constraints of humanoid platforms. She has also advanced mobile robot navigation by developing deep reinforcement learning algorithms for obstacle avoidance without requiring knowledge of other agents’ intents. In bipedal robotics, her application of preview control to the zero moment point (ZMP) method has produced more stable and natural omnidirectional walking patterns. Her highly cited papers, with over 16 combined citations, have established her as a key figure in practical, real-world robot autonomy. Dr. Liu’s work is notable for its focus on computationally efficient solutions that bridge the gap between theoretical control and perception methods and the demanding constraints of physical hardware, making her research essential for the next generation of agile, self-aware robots.