Toshiyuki Takiguchi

Meiji University

Papers

2

Total Citations

8

H-Index

2

About

Toshiyuki Takiguchi is a pioneering researcher in the field of robotics and artificial consciousness, with a primary focus on machine self-awareness. His work explores the theoretical and practical boundaries of how robots can develop a sense of self, distinguishing themselves from other agents and their environment. Takiguchi’s major contribution lies in the development of the MoNAD, a novel neural network circuit designed to model the phenomena of self-awareness. In his most cited work, "A STUDY OF SELF-AWARENESS IN ROBOTS" (2013, 6 citations), he examines the intricate relationship between self-awareness and consciousness, proposing a framework for embedding these qualities into artificial systems. Expanding on this, his 2012 paper introduces a mechanism where robots use an internal temporal evaluation to achieve self-discrimination. Though his citation counts are modest, Takiguchi’s research is foundational for advancing the understanding of machine consciousness, offering a unique perspective that bridges cognitive science and robotics. His work is particularly notable for its ambitious attempt to operationalize abstract philosophical concepts into tangible robotic architectures.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A STUDY OF SELF-AWARENESS IN ROBOTS
6 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Meiji University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago