Yihu Ling

Papers

Total Citations

H-Index

About

Yihu Ling is a robotics researcher whose work pushes the boundaries of legged locomotion and dexterous manipulation. His primary research areas include optimal motion planning for quadrupedal robots and automated manipulation of deformable objects. Ling’s most significant contribution is an optimal motion planning framework for quadruped jumping, which enables robots to automatically generate energy-efficient, versatile motions such as flips and spins. By formulating jumping as a 12-dimensional black-box optimization problem using centroidal dynamics, his approach achieves dynamic agility while respecting kinematic and dynamic constraints—a paper that has garnered 23 citations and stands as his most influential work. In parallel, Ling has tackled the challenging domain of robotic sorting of multiwire cables, developing a hierarchical manipulation scheme that combines hybrid vision to handle small, closely coupled deformable wires in manufacturing settings. This work addresses a critical industrial need for automating complex assembly tasks. Together, Ling’s research demonstrates a rare ability to bridge theoretical optimization with practical robotic systems, making him a rising figure in both dynamic locomotion and industrial manipulation.