Woosuk Kang
Papers
3
Total Citations
23
H-Index
2
About
Woosuk Kang is a robotics researcher specializing in swarm intelligence and multi-robot systems, with a focus on making cooperative robot teams more robust, accessible, and efficient. His most cited work, "Optimization of Task Allocation for Resource-Constrained Swarm Robots" (2024, 13 citations), addresses a critical gap in swarm robotics by proposing novel allocation methods that remain effective under real-world constraints like limited communication range, robot failures, and strict deadlines. This contribution is vital for deploying resilient swarms in hazardous environments such as disaster response. Kang also made significant strides in lowering the barrier to entry for multi-robot programming. His 2020 paper (8 citations) introduced a software development framework that allows users to specify high-level cooperative missions without deep programming expertise, while his 2022 survey (2 citations) comprehensively reviewed high-level languages for operating swarm robots, guiding future tool development. By bridging the gap between theoretical swarm algorithms and practical, user-friendly software, Kang is helping to democratize swarm robotics, enabling non-experts to harness the power of collaborative robot teams for tasks like search-and-rescue and environmental mapping.
Research Focus
Key Achievements
Top Papers
- 1Optimization of Task Allocation for Resource-Constrained Swarm Robots13 citations · 2024
- 2
- 3A Survey of High-Level Programming Languages for Operating Swarm Robots2 citations · 2022