Papers
3
Total Citations
8
H-Index
2
About
Kaiyi Xie’s research centers on force perception and tactile sensing for robotic manipulation, with a particular focus on enhancing the dexterity and safety of surgical and grasping systems. In their most cited work, Xie developed an automatic identification program for force perception parameters—including gravity and centroid of the end-effector—using a 6-axis force/torque sensor, enabling precise external force/torque sensing at the robot’s tip (2021, 4 citations). This foundational contribution was extended in a subsequent study, where Xie proposed a versatile algorithm suite—integrating filtering, gravity compensation, and posture transformation—to implement 7-DOF force/torque feedback in master-slave surgical robots (2020, 2 citations). Their work directly addresses the critical need for haptic feedback in minimally invasive surgery, improving operator control and patient safety. Additionally, Xie authored a concise review on tactile sensing for stable robot grasping (2022, 2 citations), synthesizing key challenges and advances in the field. Though early in their career, Xie’s contributions are already shaping the integration of force feedback in medical robotics, laying groundwork for more intuitive and reliable human-robot interaction.
Research Focus
Key Achievements
Top Papers
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