Papers
2
Total Citations
23
H-Index
2
About
Yucheng Tang is a researcher at the forefront of healthcare robotics, specializing in human-robot interaction and autonomous mobile systems for clinical environments. His work addresses critical challenges in modern medicine, particularly the integration of robotic assistance to alleviate the burden on healthcare professionals amid an aging global population. Tang’s most cited paper, “Human-robot interactions in autonomous hospital transports” (2024, 18 citations), explores how robots can handle non-technical tasks like patient transport and rehabilitation, enabling caregivers to focus on complex clinical duties. He also contributed to “Collision Avoidance for Mobile Robots Using Proximity Sensors” (2021, 5 citations), advancing safety mechanisms for autonomous navigation in crowded hospital corridors. By designing intuitive interaction protocols and robust sensor-based control systems, Tang bridges the gap between robotic efficiency and human-centered care. His research not only improves operational workflows but also sets a foundation for scalable, trust-based robotic support in healthcare. With a growing citation record and a focus on real-world deployment, Tang is shaping a future where robots and nurses collaborate seamlessly to enhance patient outcomes.
Research Focus
Key Achievements
Top Papers
- 1Human-robot interactions in autonomous hospital transports18 citations · 2024
- 2Collision Avoidance for Mobile Robots Using Proximity Sensors5 citations · 2021