Jae Il Kim
Papers
1
Total Citations
2
H-Index
1
About
Jae Il Kim is a robotics researcher whose work focuses on multirobot coordination and cooperative task planning. His most notable contribution, "Constraint Manifold Subsearch for multirobot path planning with cooperative tasks" (2015), addresses the complex challenge of determining collision-free paths for robot teams that must form temporary, tightly coordinated groups to perform tasks requiring multiple agents. Kim's key insight lies in modeling the multi-scale coordination problem—balancing global distribution across a workspace with local, precise cooperation among robots in a team. This work has garnered 2 citations, reflecting its specialized impact in the multirobot systems community. While his citation count is modest, the research tackles a fundamental bottleneck in robotics: enabling scalable yet flexible cooperation among heterogeneous robot teams. Kim's approach is particularly valuable for applications like warehouse logistics, search-and-rescue, and autonomous construction, where robots must dynamically form and dissolve teams. His work stands as a thoughtful contribution to the ongoing effort to make multirobot systems more adaptive and efficient in real-world, task-driven environments.
Research Focus
Key Achievements
Top Papers
- 1