Repository
Research
softgym · Xingyu-Lin
SoftGym provides benchmark environments for deformable-object manipulation.
Manipulation
Software / Open source
AdaptiGraph · Boey-li
AdaptiGraph research code for material-adaptive robotic manipulation dynamics.
Overview
AdaptiGraph research code for material-adaptive robotic manipulation dynamics.
Publisher summary: “[RSS 2024] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation”
Use its repository to inspect the implementation, documentation and supported workflows. This directory record identifies the maintainer, code license and related resources; it does not claim that the project has been installed or tested on your robot.
Project information
- Maintainer
- Boey-li
- Primary language
- C++
- Repository code license
- MIT
- Model-weight license
- Not recorded
- Dataset license
- Not recorded
- Hardware design license
- Not recorded
- Maintenance
- Not archived in the last recorded metadata
- Last observed repository push
- 2024-07-25
Code licenses do not automatically cover model weights, datasets or hardware designs. Unrecorded license details require confirmation with the publisher.
Documentation sections
- AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
- 🛠️ Installation
- Prerequisite
- Setup an environment
- prepare python env
- install PyTorch. We use 2.2.1+cu121 as an example:
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