This repository contains robot descriptions that are used in the Machines in Motion lab.

Model-predictive control for microcontrollers

FAST-LIVO2: Fast, Direct LiDAR-Inertial-Visual Odometry

A generative world for general-purpose robotics & embodied AI learning.

Deep Reinforcement Learning for Robotic Grasping from Octrees

Unitree Go2, Unitree G1 support for Nvidia Isaac Lab (Isaac Gym / Isaac Sim)

Vision-Language Navigation Benchmark in Isaac Lab

Low-level locomotion policy training in Isaac Lab

💦 Seamless, distributed, real-time integration of Blender into PyTorch data pipelines

A flexible, high-performance 3D simulator for Embodied AI research.

[arXiv 2024] Generalizable Humanoid Manipulation with Improved 3D Diffusion Policies. Part 1: Train & Deploy of iDP3

[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion

[RSS 2024] 3D Diffusion Policy: Generalizable Visuomotor Policy Learning via Simple 3D Representations

Official code for "Maximum Likelihood Training of Score-Based Diffusion Models", NeurIPS 2021 (spotlight)

Materials for the Hugging Face Diffusion Models Course

MetaModule provides extensions of PyTorch Module for meta learning

Deep Reinforcement Learning

[T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles

NVIDIA-accelerated, deep learned stereo disparity estimation

NVIDIA-accelerated 3D scene reconstruction and Nav2 local costmap provider using nvblox

This repo is designed for General Robotic Operation System

Dataset for MetaSLAM Challenge

This repository contains implementations and illustrative code to accompany DeepMind publications

Introduction to blender scripting

Non-Destructive Modelling Toolkit for Blender