A GPU-Accelerated Differentiable Simulation Framework for Efficient Quadrotor Policy Learning

Connect AI models like Claude & GPT with robots using MCP and ROS.

A dark theme configuration for RViz/RViz2 that reduces eye strain and works with both ROS1 and ROS2

Simple Graphviz library for TypeScript.

UFM deployment code optimized for MAC_VO usage

Fast, hierarchical, sparse Voxel Grid

Node.js version of ROS 2.0 client

BehaviorTree.CPP utilities to work with ROS2

A ROS-based visual IDE for creating Behavior Trees

Wan: Open and Advanced Large-Scale Video Generative Models

Repository to "Leveraging Analytical Gradients in Provably Safe Reinforcement Learning"

Official code of Franca: Nested Matryoshka Clustering for Scalable Visual Representation Learning

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

MiniMax-M1, the world's first open-weight, large-scale hybrid-attention reasoning model.

NVIDIA Isaac Sim™ is an open-source application on NVIDIA Omniverse for developing, simulating, and testing AI-driven robots in realistic virtual environments.

[IROS 2025] Source code for "RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration"

An open-source, GPU-accelerated physics simulation engine built upon NVIDIA Warp, specifically targeting roboticists and simulation researchers.

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

Official implementation of Diffusion Policy Policy Optimization, arxiv 2024

ROSA 🤖 is an AI Agent designed to interact with ROS1- and ROS2-based robotics systems using natural language queries. ROSA helps robot developers inspect, diagnose, understand, and operate robots.

Reinforcement learning in differentiable multiphysics simulation with NVIDIA Warp.

rqt_embed_window is a rqt_gui plugin that allows to embed any graphical application as a rqt widget

A Python framework for accelerated simulation, data generation and spatial computing.

A collection of environments and reference agents for planning and reinforcement learning research in partially observable, multi-agent environments.

🌐 Make websites accessible for AI agents. Automate tasks online with ease.