Images to inference with no labeling (use foundation models to train supervised models).

[ICLR2022] official implementation of UniFormer

LabelFusion: A Pipeline for Generating Ground Truth Labels for Real RGBD Data of Cluttered Scenes

Unified framework for robot learning built on NVIDIA Isaac Sim

A complete end-to-end demonstration in which we collect training data in Unity and use that data to train a deep neural network to predict the pose of a cube. This model is then deployed in a simul…

A student project comparing reinforcement learning algorithms on a panda robotic arm. Implemented PPO and its safety version, PPO Lagrangian, taking into account costs such as avoiding obstacles. E…

Central repository for tools, tutorials, resources, and documentation for robotics simulation in Unity.

End-to-End Visual Obstacle Avoidance for a Robotic Manipulator usingDeep Reinforcement Learning

GenSim: Generating Robotic Simulation Tasks via Large Language Models

ROS 2 enabled Machine Learning algorithms

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

This is an implementation of Deep Reinforcement Learning algorithm named Deep determinsitic Policy Gradient (DDPG) to train a 4 DOF robotic Arm to reach the moving target. The action space is conti…

An Iterative Closest Point (ICP) library for 2D and 3D mapping in Robotics

Efficient and parallel algorithms for point cloud registration [C++, Python]

A collection of GICP-based fast point cloud registration algorithms

GH-ICP: Iterative Closest Point algorithm with global optimal matching and hybrid metric [3DV' 18]

This repository is the implementation of our CVPR 2020 work: "Feature-metric Registration: A Fast Semi-supervised Approach for Robust Point Cloud Registration without Correspondences"

SJTU CS473 Project: Implementation of Deep Closest Point in TensorFlow, and its comparison with other registration methods.

点云配准入门知识

A fast and robust global registration library for outdoor LiDAR point clouds.

ROS package for dynamic obstacle avoidance for ground robots trained with deep RL

End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo

A repository to hold definitions of docker images maintained by OSRF

LLM training in simple, raw C/CUDA

Python sample codes for robotics algorithms.

[CVPR2022] Geometric Transformer for Fast and Robust Point Cloud Registration

Implementation for our CVPR 2021 oral paper "PointNetLK Revisited".