Papers
222
Total Citations
3,545
H-Index
31
About
Jun Ota is a prominent robotics researcher whose work has fundamentally shaped our understanding of multi-robot systems, cooperative manipulation, and autonomous distributed systems. With a career spanning over three decades, Ota has made seminal contributions to motion planning for multiple mobile robots, establishing foundational frameworks that address the complex challenges of obstacle avoidance, task assignment, and stable manipulation in dynamic environments. His most influential work, "Motion Planning of Multiple Mobile Robots for Cooperative Manipulation and Transportation" (2003, 189 citations), tackled the intricate problem of coordinating robot teams to transport large objects through three-dimensional spaces — a challenge requiring simultaneous solutions across multiple computational domains. Complementing this, his research on cooperative sweeping algorithms (2002, 151 citations) and real-time task assignment architectures (2002, 135 citations) demonstrated elegant solutions for deploying robot teams efficiently across unknown environments. Ota's broader contributions extend into agile manufacturing systems and distributed autonomous robot architectures, reflecting a versatile research vision bridging theoretical planning and industrial application. His more recent work on dynamic parameter identification for serial robots (2022, 84 citations) demonstrates continued relevance in advancing model-based control precision. Collectively accumulating over 1,000 citations, Ota's research remains essential reading for anyone studying multi-robot coordination and intelligent automation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2Multi-agent robot systems as distributed autonomous systems181 citations · 2006
- 3Agile Assembly System by “Plug and Produce”154 citations · 2000
- 4Cooperative sweeping by multiple mobile robots151 citations · 2002
- 5
- 6Multirobot motion coordination in space and time97 citations · 1998
- 7Dynamic Parameter Identification of Serial Robots Using a Hybrid Approach84 citations · 2022
- 8Motion Planning of Multiple Mobile Robots67 citations · 1992
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