Papers
3
Total Citations
26
H-Index
2
About
Changqing Hu is a robotics researcher whose work focuses on the intersection of multi-robot systems, autonomous navigation, and digital twin technology. Hu’s major contributions include developing a virtual-real control system for inspection robots using Unity and Robot Operating System (ROS), which enhances safety and efficiency in complex environments by enabling real-time, reliable remote inspection. This work, published in 2022, has garnered 21 citations, reflecting its practical significance. Hu also proposed a decentralized connectivity control method for multi-robot flocking under disturbances, ensuring robust network maintenance without compromising flocking objectives—a key advancement for resilient swarm robotics. Additionally, Hu introduced MoTI, a multi-stage algorithm for moving object identification in SLAM, addressing the persistent challenge of dynamic environments in autonomous driving and tracking. With a growing citation record and contributions spanning inspection robotics, swarm control, and perception, Hu’s research demonstrates a clear trajectory toward safer, more adaptive autonomous systems, making it highly relevant for students and researchers in field robotics and embodied AI.
Research Focus
Key Achievements
Top Papers
- 1Inspection Robot Based on Offline Digital Twin Synchronization Architecture21 citations · 2022
- 2
- 3MoTI: A Multi-Stage Algorithm for Moving Object Identification in SLAM2 citations · 2023