Shaobo Yan
Papers
1
Total Citations
19
H-Index
1
About
Shaobo Yan is a researcher in robotics and intelligent manipulation, with a focus on tactile sensing, impedance control, and underactuated gripper design. Their key contribution lies in developing methods for impedance identification through tactile feedback, enabling robots to adaptively grasp and manipulate objects with varying compliance. In their most-cited work, "Impedance Identification Using Tactile Sensing and Its Adaptation for an Underactuated Gripper Manipulation" (2018, 19 citations), Yan introduced a novel framework that integrates tactile sensors with impedance control to allow underactuated grippers—which have fewer actuators than degrees of freedom—to adjust their stiffness in real time. This work addresses a critical challenge in robotic dexterity: enabling safe, adaptive interaction with unknown or fragile objects without requiring precise pre-programmed models. By bridging tactile perception and control adaptation, Yan’s research advances the field of soft and compliant robotics, with implications for industrial automation, prosthetics, and human-robot collaboration. Their work demonstrates how intelligent sensing can enhance the versatility of simpler, more robust gripper designs, making robotic manipulation more accessible and reliable in unstructured environments.
Research Focus
Key Achievements
Top Papers
- 1