Papers

123

Total Citations

1,838

H-Index

22

About

Atsushi Yamashita is a prominent robotics researcher whose work spans mobile robot motion planning, autonomous navigation, underwater sensing, and human-robot coexistence. He is perhaps best known for his foundational contributions to cooperative multi-robot systems, with his seminal 2003 paper on motion planning for cooperative manipulation and transportation of large objects in three-dimensional environments accumulating 189 citations — a landmark study that tackled the complex interplay of obstacle avoidance, stable manipulation, and computational efficiency. Building on this foundation, Yamashita has made significant advances in robot path planning, developing improved artificial potential field-based regression search methods that elegantly resolve longstanding challenges such as local minima and oscillations across static and dynamic environments, earning over 200 additional citations combined. His research extends into specialized domains including underwater image color registration to compensate for light attenuation, acoustic camera-based SLAM for dense 3D underwater mapping, and 3D radiation source localization using mobile robots — work with direct implications for nuclear safety and disaster response. Yamashita has also contributed meaningfully to pedestrian behavior modeling for safe human-robot interaction and unmanned construction technologies deployed in real Japanese disaster recovery operations. Across his career, his research reflects a consistent commitment to bridging theoretical robotics with practical, high-stakes real-world applications.

Research Focus

Key Achievements

22
H-Index
123
Papers
1,838
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
Motion planning of multiple mobile robots for cooperative manipulation and transportation
189 citations · 2003
📈 Most Prolific Year: 2016 (13 Papers)
🤝 Key Collaborators: 235
🏛 Institutions: Shizuoka University, The University of Tokyo, Chiba University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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