Hanqing Zhao
Papers
2
Total Citations
14
H-Index
2
About
Hanqing Zhao is a rising researcher at the intersection of swarm robotics and decentralized systems, whose work explores how principles from blockchain technology can enhance collective robotic behavior. His most influential contribution, "A Generic Framework for Byzantine-Tolerant Consensus Achievement in Robot Swarms" (2023, 12 citations), introduces a novel approach to securing robot swarms against faulty or malicious agents by porting blockchain’s consensus mechanisms into distributed robotic networks. This work addresses a critical vulnerability in swarm coordination, offering a theoretical foundation for resilient, trustless multi-robot systems. Zhao further demonstrates his technical breadth in "General Dynamic Neural Networks for the Adaptive Tuning of an Omni-Directional Drive System for Reactive Swarm Robotics" (2021, 2 citations), where he applies neural networks to online motor control—showcasing a practical engineering contribution to reactive swarm platforms. While his citation counts are still growing, Zhao’s research is notable for bridging two previously separate domains: distributed ledger technology and embodied swarm intelligence. His work is particularly relevant for researchers exploring security, fault tolerance, and adaptive control in decentralized robotic systems.
Research Focus
Key Achievements
Top Papers
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- 2