Hoshinori Kanazawa

The University of Tokyo, Tokyo University of Science

Papers

Total Citations

H-Index

About

Hoshinori Kanazawa is a pioneering researcher at the intersection of developmental cognitive science, human-robot interaction, and computational modeling. His work explores how embodied interaction shapes early human development, with a particular focus on the fetal period—a domain where technical and ethical constraints have long limited empirical study. In his most cited paper, "Simulating a Human Fetus in Soft Uterus" (2022, 7 citations), Kanazawa introduces a constructive approach to modeling fetal behavior, offering novel insights into the origins of cognition before birth. He also advances the field of assistive robotics through his work on estimating mental health quality of life from visual cues during interactions with communication agents (2020, 4 citations), aiming to improve elderly care by enabling robots to understand user states more deeply. More recently, Kanazawa has contributed to homeostatic reinforcement learning, modeling long-term nutritional behaviors in autonomous agents (2024, 3 citations). His interdisciplinary approach—bridging robotics, psychology, and computational neuroscience—has positioned him as a rising voice in understanding how intelligent systems, both biological and artificial, develop and sustain adaptive behavior over time.