Upcoming Talk at the 21st IEICE DPF Technical Meeting
I will give a talk at the 21st Technical Meeting of the IEICE Special Technical Committee on Digital Service Platform Technology (DPF), to be held on Friday, June 5, 2026 in hybrid …
•
1 min read
🤖Profile
Associate Professor at Graduate School of Engineering Science, Osaka University.
Research interests include cognitive developmental robotics, computational modeling
of emotional development, and human-robot interaction.
Education
Ph.D. in Engineering
2013-04-01
2017-09-30
Osaka University
M.Eng.
2011-04-01
2013-03-31
Osaka University
B.Eng.
2009-04-01
2011-03-31
Advanced Course in Electronic-Mechanical Engineering, Toyota National College of Technology
Interests
Cognitive Developmental Robotics
Computational Modeling of Emotional Development
Human-Robot Interaction
Symbol Emergence Robotics
Qualia and Consciousness
Robot Learning (Imitation / RL / LLM)
Research
Can robots have emotions? How does the human mind develop?
Our research group explores these questions from the perspectives of cognitive developmental robotics and symbol emergence robotics. We work on the computational modeling of emotional development, human-robot interaction based on active inference, the correspondence between qualia structures and information structures, and the modeling of creativity. We also investigate behavior acquisition through imitation and reinforcement learning, robot action planning and task execution leveraging foundation models such as Large Language Models (LLMs) and Vision-Language Models (VLMs), and the construction of embodied intelligence grounded in the integration of multimodal information. Centered on robot learning, our research approaches the essence of intelligence from multiple angles.
News
Four Presentations at JSAI 2026 (40th Annual Conference of JSAI)
Our lab will give the following four presentations at the 40th Annual Conference of the Japanese Society for Artificial Intelligence (JSAI 2026), to be held June 8–12, 2026 at …
•
1 min read
Upcoming Talk at the 2nd Osaka University OCEANS Symposium
I will give a talk and join a panel discussion at the 2nd Osaka University OCEANS Symposium — “Down-to-Earth AI Development with the Maritime Industry,” to be held on Wednesday, …
•
1 min read
Research Topics
Computational Modeling of Emotional Development
This line of research computationally models how human emotions develop through multimodal perception (vision, audition, touch). We focus on tactile dominance in infant-caregiver …
•
1 min read
Constructive Study of Qualia and Consciousness
Can robots have emotional qualia? Addressing this question, we work on elucidating the correspondence between qualia structures and information structures. As part of the …
•
1 min read
Human-Robot Interaction
Research on human-robot interaction aimed at the coexistence of humans and robots, including dialogue robots in social contexts, mental health support, and communication support. …
•
1 min read
Research Projects
Human–AI Symbiosis and Co-Creation: Self Mirroring Twins for Active Social Co-Creation
A JST CREST project building an AI foundation that supports behavior change and active social co-creation through symbiosis with "Self Mirroring Twins."
•
1 min read
AI Cobots for Next-Generation Shipyards
Developing robot learning and skill acquisition algorithms to realize AI cobots that work side by side with humans on shipyard floors.
•
1 min read
Comforting Social Touch — Individual Differences and Cognitive-Scientific Understanding
Elucidating, through cognitive science, the mechanisms and individual differences of social touch that creates a sense of comfort between humans, and between humans and robots.
•
1 min read
Featured Publications
TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned From LLM-Generated Demonstrations
We propose a task-aware, robot-affordance-centric diffusion policy. By integrating the notion of affordances into a diffusion model, the proposed method enables more adaptive …
Creative Agents: Simulating the Systems Model of Creativity With Generative Agents
This work simulates the systems model of creativity using generative agents. By computationally reproducing human creative processes, we explore how creativity emerges.
LiP-LLM: Integrating Linear Programming and Dependency Graph With LLMs for Multi-Robot Task Planning
We propose a multi-robot task planning method that integrates Large Language Models (LLMs) with linear programming and dependency graphs. By combining the natural-language …
Active Inference Through Energy Minimization in Multimodal Affective Human-Robot Interaction
Based on the framework of active inference, we propose an energy-minimization approach to multimodal affective human-robot interaction. The proposed mechanism enables a robot to …