Hang Zhao
Papers
4
Total Citations
20
H-Index
3
About
Hang Zhao is a robotics researcher whose work centers on motion planning, trajectory optimization, and rehabilitation robotics, with a particular focus on developing intelligent algorithms that enhance the precision and safety of robotic systems. His most cited contribution, a 2022 study on obstacle avoidance and near time-optimal trajectory planning using an improved Whale Optimisation Algorithm (10 citations), demonstrates his expertise in applying bio-inspired metaheuristics to complex robotic motion challenges. Complementing this, his work on a novel 6-DOF upper limb exoskeleton rehabilitation robot introduced a multi-valued difference function to achieve smooth, continuous motion trajectories, advancing assistive technology for physical rehabilitation. Zhao has also tackled the critical challenge of singular configurations in industrial robots, proposing a dynamic damping least squares method for singularity avoidance that improves operational reliability in manufacturing environments. His research on spot-welding path planning for automotive body-in-white components using a memetic algorithm further highlights his contributions to industrial automation. Collectively, Zhao's body of work, accumulating 20 citations across recent publications, reflects a consistent commitment to bridging theoretical optimization techniques with practical robotic engineering applications.
Research Focus
Key Achievements
Top Papers
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