Papers
9
Total Citations
89
H-Index
6
About
Yunke Huang’s research lies at the intersection of swarm robotics, multi-robot coordination, and bio-inspired pattern formation. His work focuses on enabling groups of robots to collaboratively trap targets, transport objects, and navigate constrained environments using gene regulatory network (GRN) models inspired by biological morphogenesis. Huang’s most cited paper, “Multi-target trapping with swarm robots based on pattern formation” (2018, 31 citations), introduces a method for robots to dynamically form shapes around multiple targets. He has also contributed to cooperative object transport using a novel ball-string-ball structure (2024, 9 citations), a hot topic in multi-robot systems. His 2020 paper on synchronous intercept strategies for defense-intrusion games (14 citations) and his 2019 study on alternative escape behaviors (11 citations) demonstrate his interest in adversarial and survival scenarios. Huang’s work on privacy-preserving flocking (2025, 4 citations) addresses emerging concerns in swarm security. Notably, his 2012 paper on robot swarming over the Internet (6 citations) was an early exploration of distributed control across remote testbeds. With over 80 total citations, Huang’s contributions are shaping the future of autonomous, cooperative robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Multi-target trapping with swarm robots based on pattern formation31 citations · 2018
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- 3Stay-eat or run-away: Two alternative escape behaviors11 citations · 2019
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- 6Robot swarming over the Internet6 citations · 2012
- 7Swarm Robotic Flocking With Aggregation Ability Privacy4 citations · 2025
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