Chenghang Pan

Papers

Total Citations

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About

Chenghang Pan is a robotics researcher focused on assistive technologies for elderly and disabled populations, with key contributions in rehabilitation robotics and human-robot interaction. His most cited work, “Application of Optimal-Jerk Trajectory Planning in Gait-balance Training Robot” (2022, 6 citations), introduces the G-Balance robot—a six-degree-of-freedom parallel platform that uses optimal-jerk trajectory planning and IMU sensors to address gait and balance disorders in aging individuals. This work demonstrates his expertise in combining mechanical design with control algorithms to create safer, more effective rehabilitation tools. In “A Vision-Based Target Localization System for the Meal Assistance Robot” (2022, 2 citations), Pan tackles the challenge of dietary autonomy for those with upper limb weakness, developing a vision-guided system that enables meal assistance robots to accurately locate and interact with food items. His research bridges the gap between theoretical robotics and practical, life-enhancing applications, with a clear emphasis on improving quality of life through intelligent machine design. Pan’s work, though early in citation impact, represents a growing contribution to the field of assistive robotics, where his innovations in trajectory optimization and sensor integration hold promise for future clinical and home-use systems.