Papers
12
Total Citations
99
H-Index
6
About
Shoubin Liu’s research lies at the intersection of robotics, human-robot interaction, and medical automation, with a focus on making robots safer, more intuitive, and more capable in complex environments. His work spans navigation, surgical assistance, and legged locomotion. A key contribution is his approach to robot navigation that integrates human trajectory prediction with multiple travel modes, enabling mobile robots to move safely and socially in crowded spaces (22 citations). In medical robotics, he has advanced minimally invasive surgery through the design of haptic master manipulators and variable admittance control for orthopedic procedures, enhancing surgeon precision and collaboration (13 and 9 citations, respectively). Liu has also explored intuitive human-robot interfaces, including hand gesture recognition for industrial robots (9 citations) and programming by demonstration (17 citations). His work on compliant control for quadruped and legged robots addresses stability and dynamic jumping (6 and 5 citations). More recently, he has contributed to capsule robot technology for targeted biopsy and drug delivery in the stomach (3 citations). Through these diverse contributions, Liu demonstrates a commitment to creating robots that are not only technically robust but also responsive to human needs and clinical demands.
Research Focus
Key Achievements
Top Papers
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- 6Applications of hand gestures recognition in industrial robots: a review7 citations · 2019
- 7Single leg compliance control for quadruped robots6 citations · 2017
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- 10Model-Based grasp force estimation for minimally invasive surgery3 citations · 2017