Papers
107
Total Citations
1,637
H-Index
21
About
Tadahiro Taniguchi is a pioneering researcher at the intersection of cognitive robotics, machine learning, and symbol emergence, whose work has fundamentally advanced our understanding of how robots can acquire human-like intelligence through environmental interaction. His most celebrated contribution — a comprehensive survey on symbol emergence in robotics (2016, 153 citations) — established a foundational framework for understanding how machines can autonomously develop semiotic and linguistic capabilities, mirroring human cognitive development. Taniguchi's research spans probabilistic modeling, world models, and predictive coding, with influential work exploring how robots can form spatial concepts, acquire language, and build large-scale cognitive architectures. His SERKET framework (2018) demonstrated how stochastic models could be interconnected to realize sophisticated robot cognition, while his SpCoSLAM algorithm elegantly unified spatial concept acquisition with simultaneous localization and mapping. His ongoing investigations into world models and predictive coding — reflected in multiple highly cited papers from 2021 and 2023 — position him at the frontier of developmental robotics and artificial general intelligence research. With a body of work exceeding 600 cumulative citations across his top papers, Taniguchi has shaped how researchers approach language grounding, multimodal concept formation, and embodied cognition, making him an essential voice in modern cognitive and developmental robotics.
Research Focus
Key Achievements
Top Papers
- 1Symbol emergence in robotics: a survey153 citations · 2016
- 2World model learning and inference81 citations · 2021
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- 6Survey on frontiers of language and robotics53 citations · 2019
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