TARAD: Task-Aware Robot Affordance-Centric Diffusion Policy Learned From LLM-Generated Demonstrations

2025年10月1日·
Takato Horii
Takato Horii
· 0 min read
Authors
Site Hu, Takayuki Nagai, Takato Horii
Abstract
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 behavior generation for robot manipulation tasks.
Type
Publication
IEEE Robotics and Automation Letters, 10(10)
publications
Takato Horii
Authors
Associate Professor
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.