Chanwook Park
Papers
1
Total Citations
3
H-Index
1
About
Chanwook Park is a rising researcher in artificial intelligence and robotics, with a primary focus on multi-agent pathfinding (MAPF)—the challenge of planning collision-free paths for multiple agents in complex environments. His most-cited work, "Conflict-Based Search with Partitioned Groups of Agents for Real-World Scenarios" (2023), tackles the computational bottleneck of MAPF by introducing a novel technique that partitions agents into groups, dramatically reducing runtime while maintaining solution quality. This contribution addresses a critical gap between theoretical MAPF algorithms and practical deployment in real-world settings, such as warehouse robotics and automated vehicle coordination. Though early in his career, Park’s research has already garnered attention, with his top-cited paper accumulating 3 citations and signaling growing interest from the community. His work builds on the foundational Conflict-Based Search (CBS) framework, extending it to handle the non-ideal kinematics and scalability demands of real-world agents—a departure from the simplifying assumptions of point-like agents common in prior work. Park’s achievements position him as a promising voice in multi-agent systems, bridging algorithmic innovation with practical robotics challenges.
Research Focus
Key Achievements
Top Papers
- 1