Jumpei Arima

Papers

4

Total Citations

23

H-Index

3

About

Jumpei Arima is a robotics researcher whose work spans mobile manipulation, autonomous navigation, and multi-robot systems. His most recognized contribution centers on the World Robot Challenge 2020 Partner Robot Challenge, where he and his collaborators developed a data-driven approach enabling mobile manipulators to tidy household environments — a deceptively complex task requiring robust adaptation to real-world variability and safe operation alongside humans. This work has garnered 13 citations, reflecting its significance within the robotics community tackling domestic automation challenges. Beyond manipulation, Arima has made strides in autonomous navigation, proposing an edge-node map framework that eliminates the need for prior sensor data collection — a practical advancement that lowers deployment barriers for robots in real environments. More recently, his work on collective intelligence for cooperative 2D push manipulation explores how groups of mobile robots can self-organize and adapt, drawing inspiration from natural systems to fill a critical gap in artificial multi-agent coordination. Together, these contributions position Arima as a thoughtful researcher bridging theoretical robotics and real-world deployment, with particular strength in making robotic systems more practical, adaptable, and collaborative — qualities increasingly essential as robots move into human-centered spaces.

Research Focus

Key Achievements

3
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
World robot challenge 2020 – partner robot: a data-driven approach for room tidying with mobile manipulator
13 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 26

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago