dblanm

AIR_papers

Database of Artificial Intelligence and Robotics papers.

benchmarking_cloth

Code of the article "Benchmarking the Sim-to-Real Gap in Cloth Manipulation"

DaXBench-DMP

We employ DaXBench as a cloth simulator to analyze Deformable Object Manipulation (DOM), and the Dynamic Movement Primitives (DMP) method is applied to generate a series of parameterized trajectories by imitation learning. The trajectories then are used in DaXBench cloth simulation environment to do folding manipulation.

dblanm.github.io

dedo

Dynamic Environments with Deformable Objects (DEDO)

deformable-ravens

Code for: https://berkeleyautomation.github.io/bags/

evolving-ggp

Evolving-Graph Gaussian Processes.

flingbot

[CoRL 2021] This repository contains code for training and evaluating FlingBot in both simulation and real-world settings on a dual-UR5 robot arm setup for Ubuntu 18.04

gnn-manip

Code of the article "Manipulation of granular materials by learning particle interactions"

torch-graphnet

PyTorch implementation of Graph Nets

dblanm/evolving-ggp

Evolving-Graph Gaussian Processes.

dblanm/torch-graphnet

PyTorch implementation of Graph Nets

dblanm/benchmarking_cloth

Code of the article "Benchmarking the Sim-to-Real Gap in Cloth Manipulation"

dblanm/gnn-manip

Code of the article "Manipulation of granular materials by learning particle interactions"

dblanm/AIR_papers

Database of Artificial Intelligence and Robotics papers.

dblanm/DaXBench-DMP

We employ DaXBench as a cloth simulator to analyze Deformable Object Manipulation (DOM), and the Dynamic Movement Primitives (DMP) method is applied to generate a series of parameterized trajectories by imitation learning. The trajectories then are used in DaXBench cloth simulation environment to do folding manipulation.

dblanm/dblanm.github.io

dblanm/dedo

Dynamic Environments with Deformable Objects (DEDO)

dblanm/deformable-ravens

Code for: https://berkeleyautomation.github.io/bags/

dblanm/flingbot

[CoRL 2021] This repository contains code for training and evaluating FlingBot in both simulation and real-world settings on a dual-UR5 robot arm setup for Ubuntu 18.04

dblanm/gym-cloth

Code for fabric smoothing https://sites.google.com/view/fabric-smoothing. No further updates are expected.

dblanm/ravens

Train robotic agents to learn pick and place with deep learning for vision-based manipulation in PyBullet. Transporter Nets, CoRL 2020.

dblanm/softgym

SoftGym is a set of benchmark environments for deformable object manipulation.

dblanm/taichi

My fork of https://github.com/taichi-dev/taichi

dblanm/taichi_assets

Assets for legacy Taichi.