ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
☆75May 29, 2022Updated 3 years ago
Alternatives and similar repositories for ACID
Users that are interested in ACID are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for "Learning to Grasp the Ungraspable with Emergent Extrinsic Dexterity" (CoRL 2022)☆37Feb 21, 2023Updated 3 years ago
- ☆17Dec 18, 2020Updated 5 years ago
- ☆44Jul 1, 2023Updated 2 years ago
- [NeurIPS 2021], self-supervised 6D pose on category level☆95Jan 22, 2022Updated 4 years ago
- Code for Ditto: Building Digital Twins of Articulated Objects from Interaction☆124Dec 20, 2024Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- [RA-L / ICRA 2022] UMPNet: Universal Manipulation Policy Network for Articulated Objects☆59Feb 16, 2022Updated 4 years ago
- Hand Mesh Recovery models on OakInk-Image dataset☆13Apr 4, 2024Updated 2 years ago
- ☆18Jul 28, 2022Updated 3 years ago
- Implementation of the method proposed in the paper "Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation"☆238Jul 9, 2022Updated 3 years ago
- Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing☆47Nov 13, 2022Updated 3 years ago
- O2O-Afford: Annotation-Free Large-Scale Object-Object Affordance Learning (CoRL 2021)☆37Feb 22, 2022Updated 4 years ago
- [RSS 2023] RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects☆40May 1, 2023Updated 2 years ago
- ☆69Nov 1, 2023Updated 2 years ago
- ☆11Sep 11, 2020Updated 5 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Neural Grasp Distance Fields for Robot Manipulation☆98Nov 14, 2023Updated 2 years ago
- Data-Driven Operational Space Control for Adaptive and Robust Robot Manipulation☆135Mar 30, 2022Updated 4 years ago
- [CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation☆58Apr 11, 2023Updated 2 years ago
- Pytorch implimentation of the paper: "Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input"☆18Dec 23, 2022Updated 3 years ago
- We compare the gradients calculated by different differentiable contact model implementations.☆51Nov 10, 2022Updated 3 years ago
- [RSS 2022 Best Paper, Best Student Paper Finalist] Iterative Residual Policy for Goal-Conditioned Dynamic Manipulation of Deformable Obje…☆69Jul 15, 2023Updated 2 years ago
- ☆30Oct 3, 2023Updated 2 years ago
- Official PyTorch implementation of Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations☆159Sep 6, 2024Updated last year
- Official implementation for VIOLA☆123Jun 18, 2023Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- implicit displacement field☆127Jul 27, 2022Updated 3 years ago
- Framework for Online Interactive Perception (OMIP) for robots and system to perceive kinematic structures of articulated objects from int…☆29Jan 16, 2020Updated 6 years ago
- ☆11Jan 13, 2022Updated 4 years ago
- ☆65Nov 30, 2024Updated last year
- Learning Deformable Object Manipulation from Expert Demonstrations (RA-L, IROS 2022)☆29Oct 25, 2024Updated last year
- Independent PyTorch Implementation of Object Scene Representation Transformer☆49May 25, 2023Updated 2 years ago
- ☆131Dec 8, 2020Updated 5 years ago
- Implementation of " UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands"☆84Jan 2, 2023Updated 3 years ago
- Code implementation for RSS 2025 paper Particle-Grid Neural Dynamics for Learning Deformable Object Models from RGB-D Videos☆77Jan 5, 2026Updated 3 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- [RSS 2024] AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation☆83Jul 25, 2024Updated last year
- ☆27Jan 7, 2021Updated 5 years ago
- Sirius-Fleet: Multi-Task Interactive Robot Fleet Learning with Visual World Models☆18Mar 12, 2025Updated last year
- ☆207Jun 23, 2022Updated 3 years ago
- Learning Discontinuous Contact Dynamics with Smooth, Implicit Representations☆52Apr 30, 2022Updated 3 years ago
- [3DV 2022] Articulated 3D Human-Object Interactions from RGB Videos: An Empirical Analysis of Approaches and Challenges☆17Sep 14, 2022Updated 3 years ago
- [CoRL 2021 Best System Paper] This repository contains code for training and evaluating FlingBot in both simulation and real-world settin…☆137Oct 13, 2021Updated 4 years ago