Papers
2
Total Citations
9
H-Index
2
About
Jiawei Yu is a robotics researcher specializing in human-robot collaboration, medical robotics, and intelligent control systems. His work bridges the gap between autonomous robotic assistance and intuitive human guidance, with a particular focus on ultrasound-guided surgical procedures. In his most cited paper, "Visual Optimization of Ultrasound-Guided Robot-Assisted Procedures Using Variable Impedance Control" (2021, 6 citations), Yu addresses a critical clinical challenge: the quality of intraoperative ultrasound imaging depends heavily on operator skill. By proposing a robotic control system that autonomously optimizes image quality through variable impedance control, he demonstrates how robots can augment human dexterity in image-guided interventions. His subsequent work, "Virtual Potential Field-Based Motion Planning for Human-Robot Collaboration via Kinesthetically Guided Teleoperation" (2023, 3 citations), advances collaborative robotics by enabling operators to physically guide robots through teleoperation while the system autonomously avoids obstacles using virtual potential fields. This approach enhances safety and intuitiveness in shared workspaces. Yu's research is particularly notable for its practical orientation—addressing real bottlenecks in clinical and industrial settings—and its integration of control theory, perception, and human factors. His contributions are laying groundwork for more capable and accessible robotic assistants in surgery and manufacturing.
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