Haoyang Cheng
Papers
1
Total Citations
8
H-Index
1
About
Haoyang Cheng is a researcher whose work centers on the self-organized coordination of multi-robotic and unmanned aerial vehicle (UAV) systems, with a particular focus on decentralized task allocation and swarm intelligence. His major contribution lies in developing a "task stimulus approach" for dynamic mission control, as detailed in his 2013 paper, which introduces a decentralized model where tasks are allocated based on stimulus intensity and individual robot response thresholds—enabling flexible, robust, and scalable swarm operations without central oversight. While his most-cited work has garnered 8 citations, its conceptual foundation has influenced subsequent studies in autonomous swarm behavior and adaptive mission planning. Cheng’s research addresses critical challenges in real-time coordination for complex environments, making his work notable for advancing practical applications in search-and-rescue, surveillance, and environmental monitoring. His approach exemplifies how bio-inspired mechanisms can enhance the efficiency and resilience of multi-agent systems, marking him as a thoughtful contributor to the growing field of self-organized robotics.
Research Focus
Key Achievements
Top Papers
- 1Dynamic Mission Control for UAV Swarm via Task Stimulus Approach8 citations · 2013