Lixing Jin

Harbin Engineering University, Beijing Institute of Technology

Papers

Total Citations

H-Index

About

Lixing Jin is a researcher focused on advancing robotic systems through bio-inspired design, haptic feedback, and intelligent motion planning. His work spans three key areas: biomimetic underwater locomotion, surgical robotics, and obstacle avoidance. In his 2018 study on crablike robot swimming legs (10 citations), Jin investigated the hydrodynamic performance of bio-inspired appendages, contributing foundational knowledge for efficient underwater propulsion. More recently, his 2022 paper on haptic device force display (6 citations) addresses a critical challenge in telemedicine—improving force accuracy through gravity compensation, directly enhancing the safety and precision of surgical robots. Jin also developed an improved Artificial Potential Field method for obstacle avoidance in C-space (2021, 4 citations), offering a robust, computationally efficient solution for human-robot integration. With each contribution, Jin demonstrates a commitment to solving real-world robotics problems, from marine exploration to minimally invasive surgery. His work not only advances theoretical understanding but also provides practical algorithms and design principles that can be directly applied to next-generation robotic systems.