Jinghao Qi

Beihang University, Carnegie Mellon University

Papers

Total Citations

H-Index

About

Jinghao Qi is a pioneering researcher in multi-robot systems and bio-inspired robotics, with a focus on dynamic coordination and locomotion control. In his highly cited 2007 work, Qi introduced the "Virtual Range" concept for multi-mobile robot systems, enabling faster and more efficient hunting of moving targets in outdoor environments. By reducing the frequency of dynamic path planning through potential grid methods, this contribution significantly advanced swarm robotics and autonomous target tracking. His 2008 research on climbing worm robots further showcases his innovative approach, where he developed a Central Pattern Generator (CPG) control algorithm based on neural oscillator networks. By defining trapezoidal and triangular wave gaits for cyclic inhibitory control, Qi enabled robust, adaptive locomotion in challenging vertical terrains. With over 20 citations across his key papers, his work bridges theoretical neural control and practical robotic applications, inspiring advances in search-and-rescue, exploration, and industrial automation. Qi’s contributions remain foundational for students and researchers exploring decentralized multi-agent coordination and biologically inspired locomotion systems.