Zipeng Huang
Papers
4
Total Citations
66
H-Index
2
About
Zipeng Huang is a researcher specializing in distributed control systems, multi-agent systems, and autonomous robotics, with a particular focus on the intersection of communication efficiency and coordinated motion control. His work centers on solving the leader–follower formation tracking problem — a fundamental challenge in coordinating groups of autonomous agents, such as mobile robots, to maintain desired geometric formations while following a dynamic leader. Huang's most significant contributions lie in developing event-triggered and edge-triggered communication frameworks that dramatically reduce unnecessary data transmission while maintaining robust formation control. His 2022 paper on event-triggered formation tracking control, which has garnered 49 citations, introduced a novel locally computable state-estimate-based event generator, representing a meaningful advance in sampled-data multi-agent control. His follow-up work on edge-based communication-triggered strategies further refined these ideas by relocating triggering logic to communication edges rather than individual agents, offering improved scalability and network efficiency. Across his publications, Huang demonstrates a consistent drive to bridge theoretical control design with real-world robotics applications. With over 60 cumulative citations and growing recognition in the field, his research provides valuable tools for engineers and researchers working on cooperative autonomous systems, swarm robotics, and networked cyber-physical systems.
Research Focus
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Top Papers
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