Papers
11
Total Citations
149
H-Index
6
About
Xia Jing is a leading researcher in robotics, with a focus on human-robot interaction, assistive robotics, and manipulation. Her work spans key areas including grasp pose detection, compliant actuation, and human-like motion planning. A major contribution is her development of affordance-based task constraint learning for grasp pose detection in single-view point clouds, a method that enhances robotic dexterity in unstructured environments. She has also advanced series elastic actuators (SEAs) for assistive robots, notably designing a clutchable SEA for a robotic hip exoskeleton, which improves torque precision and safety in physical human-robot interactions. Her dual fast marching tree algorithm enables human-like motion planning for anthropomorphic arms under task constraints, while her framework for S-R-S-redundant manipulators simultaneously addresses trajectory tracking, obstacle avoidance, and human-like movement. With over 140 citations across her top papers, Jing’s work is widely recognized for its impact on safe, compliant, and intuitive robotic systems. Her achievements include pioneering hybrid safety-control strategies and real-time collision detection methods, solidifying her reputation as an innovator in making robots safer and more effective for collaborative environments.
Research Focus
Key Achievements
Top Papers
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- 6A Novel Hybrid Safety-Control Strategy for a Manipulator7 citations · 2014
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- 10Automatic ultrasound scanning for the Carotid Artery by robotic system2 citations · 2022