Guangju Gao

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Papers

Total Citations

H-Index

About

Guangju Gao is a leading researcher in the fields of assistive robotics and modular robotic systems, with a focus on creating intelligent, adaptive machines for real-world applications. His work is defined by a commitment to solving critical challenges in mobility and emergency response. Gao’s major contributions include the development of a Deep Reinforcement Learning (DRL)-based framework for self-balancing exoskeletons, a breakthrough that enables paraplegic patients to walk without external support by eliminating the need for complex mathematical modeling. This innovative approach, detailed in his 2020 paper (4 citations), treats the exoskeleton as a humanoid robot, paving the way for more intuitive and robust control. In parallel, Gao has advanced search-and-rescue technology through his design of a self-reconfigurable modular robot (2021, 3 citations). Featuring a planetary wheel structure and a double unlocking docking system, this robot offers exceptional flexibility and adaptability for navigating disaster zones. By integrating bionic design principles with practical engineering, Gao’s work is not only highly cited but also directly impactful, promising to enhance human mobility and save lives in critical situations.