Papers

3

Total Citations

37

H-Index

2

About

Yusuke Fujita is a pioneering researcher in robotics and algorithmic path planning, whose work bridges theoretical computer science and practical human-robot interaction. His most influential contribution, the "Dual Dijkstra Search" algorithm (2004, 27 citations), revolutionized pathfinding by enabling simultaneous discovery of multiple topologically distinct routes between configurations—a breakthrough that allows robots to consider not just the optimal path but a diverse set of meaningful alternatives, critical for navigation in complex environments. Fujita also advanced human-robot communication through his innovative work on haptic and tactile displays (2003, 8 citations), where he developed a telecommunication interface using robot arms connected via digital networks to transmit force and touch sensations, laying groundwork for immersive remote collaboration. Earlier, he explored machine learning for autonomous systems, demonstrating that collision avoidance algorithms for multiple mobile robots could be automatically generated using omni-directional platforms developed at RIKEN (2002, 2 citations). Though his citation counts reflect focused contributions, Fujita’s dual-path search concept remains a foundational tool in robotics, while his haptic interfaces anticipated today’s telepresence technologies. His work exemplifies how algorithmic elegance and sensory feedback converge to create more capable, human-aware robotic systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
37
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Dual Dijkstra Search for paths with different topologies
27 citations · 2004
📈 Most Prolific Year: 2004 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: The University of Tokyo, Waseda University, Hiroshima University

Top Papers

  1. 1
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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago