Xubin Tong
Papers
1
Total Citations
7
H-Index
1
About
Xubin Tong is a pioneering researcher in rehabilitation robotics, with a primary focus on developing intelligent motion control systems for lower-limb exoskeletons. His most impactful work, "Research on the Motion Control Strategy of a Lower-Limb Exoskeleton Rehabilitation Robot Using the Twin Delayed Deep Deterministic Policy Gradient Algorithm" (2024, 7 citations), introduces a novel application of the TD3 reinforcement learning algorithm to assist patients in performing lower-limb rehabilitation exercises. By designing a sophisticated motion controller that adapts to individual patient needs, Tong has advanced the integration of deep reinforcement learning with assistive robotics, offering more responsive and effective rehabilitation solutions. His contributions are particularly significant for improving the quality of life for individuals with mobility impairments, as his work bridges the gap between theoretical control algorithms and practical clinical applications. With a growing citation impact, Tong's research stands at the forefront of human-robot interaction and adaptive control systems, promising to reshape how rehabilitation robots are deployed in therapeutic settings.
Research Focus
Key Achievements
Top Papers
- 1