Papers
5
Total Citations
94
H-Index
4
About
Jiaqiang Zhang is a leading researcher at the intersection of robotics, cloud computing, and autonomous systems. His work primarily focuses on distributed robotic systems, cloud robotics, and autonomous decision-making for unmanned aerial vehicles. Zhang’s seminal 2022 review on distributed robotic systems in the edge-cloud continuum with ROS 2 (37 citations) has become a foundational reference for researchers navigating the complexities of hybrid robotic architectures. His earlier 2016 paper on industrial cloud robotics (25 citations) helped establish the paradigm of integrating cloud computing with robotics for sustainable manufacturing, encapsulating robotic resources as services. Zhang has also made significant contributions to autonomous confrontation systems, developing hierarchical decision-making frameworks for multiple UCAVs (22 citations) that address the challenge of dynamic, complex interactions through interpretable rule-based methods. His recent work explores event-based sensor fusion for odometry, leveraging bio-inspired event cameras for high-speed and low-light environments. Beyond these contributions, Zhang has advanced the practical implementation of distributed systems through comparative studies of middlewares for ROS 2 communication, ensuring efficient data transmission across edge-to-edge and edge-to-cloud networks. His research continues to shape the future of networked robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Industrial Cloud Robotics Towards Sustainable Manufacturing25 citations · 2016
- 3
- 4Event-based Sensor Fusion and Application on Odometry: A Survey6 citations · 2025
- 5