NTT (Japan)

🇯🇵 JP

Papers

205

Total Citations

4,343

H-Index

27

Researchers

250

About

NTT (Nippon Telegraph and Telephone Corporation) stands as one of Japan's most distinguished research institutions, blending its storied telecommunications heritage with cutting-edge advances in artificial intelligence, robotics, and human-computer interaction. With research output spanning nearly four decades, NTT's laboratories have consistently pushed boundaries at the intersection of intelligent systems, network infrastructure, and embodied robotics. The institution's research portfolio is remarkably diverse. On the AI and networking front, NTT has made landmark contributions to deep learning-driven traffic control systems, with their 2017 survey on intelligent network management accumulating over 800 citations — a testament to its foundational influence on next-generation communication infrastructure. Equally impressive is their pioneering work in world models and brain-inspired cognition, reflecting NTT's growing commitment to neuroscience-informed artificial general intelligence. In robotics, NTT researchers have advanced the field across multiple fronts: adaptive and repetitive control of robot manipulators, virtual reality-based robot teaching environments, miniature piezo-driven mobile robots for confined spaces, and sophisticated bilateral teleoperation systems. Their early work on EMG-based neural network controllers for multi-finger prosthetic control was visionary, anticipating today's biomedical robotics revolution. The ORiN open network interface for industrial robots further demonstrates NTT's drive to standardize and democratize robotic systems integration. Beyond mechanical systems, NTT has carved out a unique niche in perceptual and social robotics — exploring thermal displays for haptic feedback, human-robot interaction dynamics, auditory scene analysis, and the psychological effects of robot versus screen-based agents on human decision-making. This breadth makes NTT an exceptionally fertile environment for researchers and collaborators seeking interdisciplinary synergies across telecommunications, cognitive science, and intelligent robotics.

Research Focus

Key Achievements

27
H-Index
205
Papers
4,343
Total Citations
250
Faculty & Researchers
🏆 Most Cited Paper
State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems
823 citations · 2017
📊 Avg Citations/Paper: 21
📈 Most Prolific Year: 2002 (36)
🔬 Research Focus: Computer science, Artificial intelligence, Robot, Engineering, Mathematics, Human–computer interaction

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Faculty & Researchers

Content generated · 1 days ago