Papers
5
Total Citations
20
H-Index
3
About
Jin Sui is a researcher at the forefront of rescue robotics and human-robot interaction, specializing in noncontact human sensing and autonomous control for disaster response. Their work addresses critical challenges in casualty rescue, including body weight estimation from single images, human pose estimation under occlusion, and complete 3D human body reconstruction from limited scans. Sui’s most cited paper (2023, 5 citations) introduces a method for direct body weight estimation using virtual anthropometric measurements, enabling health monitoring and robot-assisted rescue without physical contact. Another key contribution (2025, 5 citations) proposes an Incremental Double Q-Learning-enhanced Model Predictive Control for precise trajectory tracking of mobile robots in complex environments. Sui has also advanced rehabilitation robotics, estimating ankle joint motion from electromyographic signals (2020, 3 citations) to improve human-robot interaction for patient recovery. With a focus on real-world deployment, their research integrates computer vision, reinforcement learning, and biomechanics to make rescue operations safer and more efficient. Sui’s work is essential reading for anyone interested in autonomous systems, disaster robotics, and noncontact human sensing.
Research Focus
Key Achievements
Top Papers
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- 3Human joints estimation system of rescue robot with occlusion4 citations · 2022
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