Kuangrong Hao
Papers
18
Total Citations
457
H-Index
9
About
Kuangrong Hao is a robotics and intelligent systems researcher whose work spans multi-robot coordination, swarm intelligence, and autonomous control. Best known for contributions to multi-robot patrolling, Hao co-authored a landmark 2019 survey on regular and adversarial patrolling strategies that has garnered 135 citations, establishing a foundational reference for the field. Complementing this, his development of the Non-Dominated Immune-Endocrine Short Feedback Algorithm introduced a biologically inspired optimization approach to maritime patrol missions under challenging conditions, earning 74 citations. His swarm robotics research draws elegantly from nature: a 2015 study applying bacterial chemotaxis principles to target search and trapping attracted 72 citations, while earlier work on bacterial foraging optimization laid important groundwork. Hao has also made significant strides in multi-robot formation control, proposing an affection-based dynamic leader selection model that has been cited 63 times. His more recent work addresses cooperative patrolling of moving objects, reflecting a continued push toward adaptive, real-world robotic applications. Spanning foundational theory to practical deployment, Hao's research portfolio demonstrates a sustained and impactful commitment to advancing autonomous multi-robot systems.
Research Focus
Key Achievements
Top Papers
- 1A survey of multi-robot regular and adversarial patrolling135 citations · 2019
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- 5Multirobot Cooperative Patrolling Strategy for Moving Objects27 citations · 2022
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- 8Area coverage searching for swarm robots using dynamic Voronoi-based method10 citations · 2015
- 9Screw Theory and Singularity Analysis of Parallel Robots10 citations · 2006
- 10A Dynamic Leader-Follower Strategy for Multi-robot Systems9 citations · 2015