Jian Huan

Jiangsu University of Science and Technology, Huazhong University of Science and Technology

Papers

Total Citations

H-Index

About

Jian Huan is a robotics researcher whose work bridges the critical gap between automated manufacturing and human-centered rehabilitation technology. His primary research areas include robotic trajectory optimization, intelligent motion planning, and rehabilitation robotics. Huan’s most impactful contribution is his pioneering work on spray painting robot trajectory optimization for complex curved surfaces, where he introduced the exponential mean Bézier method. This approach, detailed in his 2017 paper (17 citations), solves a longstanding challenge in automated coating by enabling precise, efficient tool path generation for large, irregular geometries—a significant advancement for industrial manufacturing. Earlier, Huan demonstrated a human-centric vision in his 2010 study on upper limb rehabilitation robots (4 citations), integrating motion intention recognition with virtual reality environments. This work was notable for prioritizing patient agency during stroke recovery, combining adaptive control strategies with immersive feedback to enhance motor function restoration. While his citation count reflects a focused, emerging impact, Huan’s dual contributions to both industrial automation and assistive robotics highlight his versatility. His trajectory optimization method offers a practical solution for manufacturing efficiency, while his rehabilitation research underscores a commitment to improving quality of life through intelligent, responsive robotic systems.