Papers

3

Total Citations

15

H-Index

2

About

Takashi Takahashi is a pioneering researcher in bio-inspired robotics and surgical teleoperation systems. His work bridges computational neuroscience and medical robotics, focusing on how neural models can guide autonomous navigation and how advanced visualization improves precision in telesurgery. In his highly cited 2001 study, Takahashi modeled hippocampal place cells using a self-organizing map combined with reinforcement learning to enable a mobile robot to navigate and adapt to real-world environments through reward-based learning—a foundational contribution to neurorobotics. This work, with 10 citations, demonstrates his early impact in merging cognitive science with robotics. He further advanced medical robotics by developing the surgical cockpit system, where he investigated the effect of video streaming delay on telemedicine performance (2002, 3 citations), and later introduced a three-side-view presentation system to enhance precise positioning of surgical robotic instruments during telesurgery (2005, 2 citations). These contributions highlight his commitment to improving the safety and accuracy of remote surgical procedures. Takahashi’s research remains influential for students and researchers exploring neural-inspired control systems and human-robot interaction in critical applications.

Research Focus

Key Achievements

2
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Self-Organization of Place Cells and Reward-Based Navigation for a Mobile Robot∗
10 citations · 2001
📈 Most Prolific Year: 2001 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Kyoto University, Advanced Science, Technology & Management Research Institute of Kyoto

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago