Akihito Noda

Nanzan University, The University of Tokyo

Papers

2

Total Citations

7

H-Index

2

About

Akihito Noda is a pioneering researcher in networked robotics and wireless power transmission, whose work bridges high-speed vision systems and energy autonomy for mobile robots. His most cited paper, "Networked high-speed vision for evasive maneuver assist" (2017, 4 citations), introduces a framework that leverages an array of high-speed cameras communicating over a network to provide vehicles with wide field-of-view and rapid responsiveness, enabling real-time evasive maneuvers and enhancing safety in dynamic environments. This contribution advances the field of intelligent transportation systems by integrating computer vision with networked control. Noda is also recognized for his groundbreaking work in wireless power delivery, as demonstrated in "30W wireless power transmission to networked robots through 2D waveguide" (2012, 3 citations). Here, he achieved 34 W power transfer through a two-dimensional waveguide sheet while meeting electromagnetic compatibility standards, enabling continuous, cable-free charging for ubiquitous robots that form flexible communication networks. This innovation addresses a critical bottleneck in autonomous robotics—sustained energy supply—and has implications for disaster response, surveillance, and industrial automation. Though his citation counts are modest, Noda’s contributions are notable for their technical ambition and practical relevance, positioning him as a key figure in the integration of high-speed perception and wireless energy for next-generation robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
7
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Networked high-speed vision for evasive maneuver assist
4 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Nanzan University, The University of Tokyo

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago