Papers
2
Total Citations
4
H-Index
2
About
Minje Kim is a robotics researcher whose work centers on advancing autonomous navigation and human-robot interaction in domestic service environments. A key contribution is the introduction of a novel multi-modal collaborative SLAM (C-SLAM) dataset, designed to enable multiple service robots to map and navigate complex indoor spaces together. This benchmark dataset, detailed in their 2024 paper, provides a critical resource for the research community, addressing the lack of standardized data for multi-robot systems in real-world settings. Kim’s impact is further demonstrated through leadership of the Hibikino-Musashi@Home team, which competes in the domestic standard platform league of the RoboCup@Home competition. Their 2023 team description paper outlines significant technical achievements, including the development of a dataset generator for training robot vision systems and an open-source development environment for human support robots. By creating shared tools and benchmarks, Kim is directly enabling other researchers to build more capable, collaborative service robots for everyday environments.
Research Focus
Key Achievements
Top Papers
- 1A Benchmark Dataset for Collaborative SLAM in Service Environments2 citations · 2024
- 2Hibikino-Musashi@Home 2023 Team Description Paper2 citations · 2023