Jiabing Hu

Wuhan University of Science and Technology

Papers

Total Citations

100

H-Index

About

Dr. Jiabing Hu is a researcher whose work sits at the intersection of robotics, medical technology, and advanced motion planning. His primary research areas include grasp planning for medical robotics and trajectory optimization for multi-degree-of-freedom manipulators. Dr. Hu’s most impactful contribution is his 2019 study on probability analysis for grasp planning in the field of medical robotics, which has garnered 92 citations—a clear indicator of its influence in shaping how robotic systems interact with delicate surgical environments. This work addresses critical challenges in ensuring safe and reliable object manipulation for medical applications. Additionally, Dr. Hu has made significant strides in trajectory planning, specifically tackling the problem of joint acceleration mutation in manipulator control. By investigating quintic polynomial trajectory planning algorithms as a solution to the limitations of cubic polynomial methods, he has advanced the precision and smoothness of robotic motion, even while acknowledging the computational trade-offs involved. His research is particularly valuable for students and engineers working on surgical robotics, automation, and control systems, offering both theoretical foundations and practical insights into creating safer, more efficient robotic movements.