real-stanford / fit2formLinks
[CoRL 2020] Fit2Form: 3D Generative Model for Robot Gripper Form Design
☆26Updated 3 years ago
Alternatives and similar repositories for fit2form
Users that are interested in fit2form are comparing it to the libraries listed below
Sorting:
- Algorithms for deformable object manipulation benchmarked in SoftGym☆44Updated 3 years ago
- ☆30Updated 2 years ago
- Dynamic Environments with Deformable Objects (DEDO)☆68Updated 2 years ago
- Code for SORNet: Spatial Object-Centric Representations for Sequential Manipulation in CoRL 2021 (Best Systems Paper Finalist)☆47Updated 3 years ago
- Implementation of " UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands"☆81Updated 3 years ago
- [ICRA 2021] AdaGrasp: Learning an Adaptive Gripper-Aware Grasping Policy☆62Updated 4 years ago
- Learning Robot Geometry as Distance Fields: Applications to Whole-body Manipulation☆41Updated 5 months ago
- This repo contains the code for "Object Rearrangement Using Learned Implicit Collision Functions", an ICRA 2021 paper. For more informati…☆60Updated 4 years ago
- Neural Grasp Distance Fields for Robot Manipulation☆97Updated 2 years ago
- [CoRL 2022] Efficient Tactile Simulation with Differentiability for Robotic Manipulation☆92Updated last year
- ReorientBot: Learning Object Reorientation for Specific-Posed Placement, ICRA 2022☆56Updated 3 years ago
- ☆35Updated 2 years ago
- [CoRL 2020] Learning 3D Dynamic Scene Representations for Robot Manipulation☆57Updated 2 years ago
- ROS package for Schunk WSG-50 gripper with high-rate feedback, closed-loop control, up to two FMF finger. Based on https://code.google.co…☆13Updated 3 years ago
- Downstream insertion tasks with NCF for tracking extrinsic contacts with tactile sensing☆19Updated last year
- kPAM: Generalizable Robotic Manipulation☆97Updated 5 years ago
- A pythonic motion planning library☆43Updated last year
- BayesSimIG: Scalable Parameter Inference for Adaptive Domain Randomization with Isaac Gym☆44Updated 4 years ago
- ☆38Updated 3 years ago
- ☆43Updated 2 years ago
- Learning Task-parametrized Riemannian Motion Policies from demonstrations.☆16Updated 3 years ago
- Simulation scripts and assets for the BioTac.☆35Updated 4 years ago
- Write PyTorch controllers, test them in simulation, and seamlessly transfer to real-time hardware.☆83Updated 4 years ago
- Code for the paper Sample Efficient Grasp Learning Using Equivariant Models☆40Updated last year
- Code for R:SS 2021 paper RMP2: A Structured Composable Policy Class for Robot Learning.☆42Updated 4 years ago
- Manage a library of objects for use in pybullet physics☆59Updated 4 years ago
- A suite of utility functions to facilitate robotic planning related research on the pybullet physics simulation engine.☆136Updated 4 months ago
- This package provides a framework to automatically perform grasp tests on an arbitrary object model of choice.☆142Updated 3 years ago
- Pytorch implimentation of the paper: "Deep Visual Constraints: Neural Implicit Models for Manipulation Planning from Visual Input"☆18Updated 3 years ago
- A python library for robot learning - An extension to PyRobot☆94Updated last year