CVPR2025

AffordDP: Generalizable Diffusion Policy with Transferable Affordance

Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang

Abstract

Figure 1 . We propose AffordDP, a novel diffusion-based imitation learning method for generalizable robotic manipulation. AffordDP leverages rich manipulation priors from transferable affordances to enhance generalization to unseen scenarios and incorporates affordance guidance to enable precise control.