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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.
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.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
CMU-IntentLab / PytorchReachability
Forked from jamesjingqili/Lipschitz_Continuous_Reachability_LearningOfficial 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.