Yan Fei Liu

Papers

Total Citations

H-Index

About

Yan Fei Liu is a robotics researcher whose work focuses on the intersection of autonomous manipulation, force feedback control, and intelligent grasping systems. His most-cited paper, "Learning to Grasp Unknown Objects using Force Feedback" (2017, 4 citations), addresses a fundamental challenge in robotics: enabling manipulators to securely grasp unfamiliar objects without prior geometric models. By integrating force sensor arrays into modern gripper designs, Liu advances the understanding of contact kinematics, applied forces, and rigid-body dynamics essential for dexterous manipulation. His contributions are particularly relevant for industrial automation and assistive robotics, where adaptability to novel objects is critical. While his citation count is modest, the foundational nature of his work—bridging sensor feedback with learning algorithms—positions it as a building block for future research in adaptive grasping. Liu’s research underscores the importance of combining real-time force sensing with control theory, offering practical insights for engineers developing more versatile robotic end effectors. His work continues to inspire students and researchers exploring the frontier of autonomous object handling.