Qingsheng Liu
Papers
4
Total Citations
88
H-Index
4
About
Qingsheng Liu is at the forefront of integrating augmented reality (AR) with robotic systems, driving innovation in medical robotics, bionic prosthetics, and human-robot interaction. His most cited work, a 2023 survey with 50 citations, comprehensively maps AR’s transformative role across medical, rehabilitative, and mobile robotics, establishing him as a key voice in this emerging field. Liu’s contributions are defined by practical, user-centered solutions: he developed a teleoperation framework for underactuated bionic hands, comparing wearable and vision-tracking methods to achieve more natural control, and created an AR-assisted robot learning framework for minimally invasive surgery (MIS) that leverages Gaussian Mixture Models to learn from human demonstrations. His research also addresses critical constraints in robot-assisted surgery, incorporating model predictive control with fuzzy approximation to manage remote center of motion (RCM) challenges. With a growing citation impact and a focus on translating complex robotics into intuitive, accessible tools, Liu’s work is shaping the next generation of surgical and assistive technologies, making him a notable figure for students and researchers interested in the convergence of AR, learning, and robotic control.
Research Focus
Key Achievements
Top Papers
- 1Recent Advancements in Augmented Reality for Robotic Applications: A Survey50 citations · 2023
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