structdiffusion.github.io - StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects

Description: StructDiffusion: Language-Guided Creation of Physically-Valid Structures using Unseen Objects

transformer (363) diffusion (239) manipulation (213) language grounding (7) semantic rearrangement (1)

Example domain paragraphs

Robots operating in human environments must be able to rearrange objects into semantically-meaningful configurations, even if these objects are previously unseen. We focus on the problem of building physically-valid structures without step-by-step instructions.

We propose StructDiffusion , which combines a diffusion model and an object-centric transformer to construct structures given partial-view point clouds and high-level language goals, such as "set the table" and "make a line" .

StructDiffusion improves success rate on assembling physically-valid structures out of unseen objects by on average 16% over an existing multi-modal transformer model, while allowing us to use one multi-task model to produce a wider range of different structures. We show experiments on held-out objects in both simulation and on real-world rearrangement tasks.

Links to structdiffusion.github.io (2)