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

2
H-Index
3
Papers
26
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Inspection Robot Based on Offline Digital Twin Synchronization Architecture
21 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Southwest University of Science and Technology, Qingdao National Laboratory for Marine Science and Technology

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago