Papers
6
Total Citations
57
H-Index
4
About
Ziqing Yu is a robotics researcher whose work sits at the intersection of medical devices, soft manipulation, and intelligent sensing. Their primary research areas include steerable robotic needles for minimally invasive procedures, variable stiffness grippers and robotic links for safe human–robot interaction, and vision-based force sensing. Yu’s most notable contribution is the design of a telescopic steerable robotic needle for tissue biopsy, a device that could improve diagnostic accuracy in minimally invasive medicine (23 citations). They have also advanced the field of flexible grasping by developing a variable stiffness gripper using a parallel-beam structure with integrated vision-based force sensing (20 citations), and proposed a novel variable stiffness compliant robotic link based on discrete stiffness units to enhance safety during human–robot interaction (7 citations). More recently, Yu has explored event-based vision transformers for gripper force measurement and dynamic modeling for robust force-position control of variable stiffness grippers. Their work on surface reconstruction of grain piles using multi-viewpoint point clouds (2025) demonstrates a broadening application of robotic perception. With a growing citation record and a focus on practical, safety-critical robotics, Yu is establishing a reputation for innovative, application-driven research.
Research Focus
Key Achievements
Top Papers
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