Joonyeol Sim
Papers
1
Total Citations
2
H-Index
1
About
Joonyeol Sim is a rising researcher in robotics and artificial intelligence, with a primary focus on multi-robot path planning (MRPP) in continuous environments. His most notable contribution is the development of Safe Interval RRT*, a novel two-level algorithm that addresses the combinatorial and continuous-space challenges inherent in coordinating multiple robots. By integrating a global planner that computes safe time intervals with a local planner that leverages the RRT* sampling-based framework, Sim’s work enables scalable, collision-free navigation for large robot teams. This approach represents a significant step forward in making multi-robot systems practical for real-world applications, such as warehouse automation and autonomous exploration. Although his seminal paper from 2024 has garnered early citations, reflecting growing interest from the robotics community, Sim’s work is already recognized for its innovative blend of theoretical rigor and practical scalability. As a young researcher, his contributions are poised to influence future developments in autonomous coordination, and he is a promising voice in the field of multi-agent systems.
Research Focus
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Top Papers
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