Guoli Jiang

Southwest University of Science and Technology

Papers

Total Citations

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About

Guoli Jiang is a robotics researcher focused on advancing the motion control and anthropomorphic capabilities of humanoid robots. His work centers on three key areas: adaptive control for coordinated dual-arm manipulation, high-torque gait generation for obstacle surmounting, and kinematic mapping from human to robot arms. In his most cited paper (2019, 11 citations), Jiang proposed a fuzzy-approximation-based adaptive backstepping control method that enables a humanoid robot’s dual arms to track trajectories and coordinate object grasping with human-like precision. He also developed a pulsing-type joint servo driver approach that leverages whole-body dynamics to achieve high instantaneous torque for stepping-over gaits, addressing a critical challenge in robot mobility. Most recently, Jiang introduced a novel mapping method that reconstructs human arm kinematics to allow robots with different joint configurations to mimic human motion, a foundational step toward compliant, natural movement. His contributions are shaping the next generation of humanoid robots capable of safe, dexterous interaction in human environments.