ASPIRE: Agentic /Skills Discovery for Robotics
An all-in-one VLA engineering platform for embodied AI β from data to real-robot deployment.
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
GenZ-ICP: SOTA robust LiDAR odometry (IEEE RA-L 2025)
HoloMotion: A Foundation Model for Whole-Body Humanoid Control
Open source evals for physical AI. Run any LLM/VLA on any arm/humanoid against any real/sim benchmark.
A unified framework for robot learning
knowledge
Isaac Lab - Arena is a robotics simulation framework that enhances NVIDIA Isaac Lab by providing a composable, scalable system for creating diverse simulation environments and evaluating robot learning policies. The framework enables developers to rapidly prototype and test robotic tasks with various robot embodiments, objects, and environments.
β
RAI is a vendor agnostic agentic framework for Physical AI robotics, utilizing ROS 2 tools to perform complex actions, defined scenarios, free interface execution, log summaries, voice interaction and more.
Implementation of Οβ, the robotic foundation model architecture proposed by Physical Intelligence
Just a VLM Agent Can Play Robots
A Comprehensive Framework for Visual SLAM Systems and Datasets
ζΊε¨δΊΊζζ―ζ θ΅ζζ±ζ»
Identify and simulate extended friction models for servo-actuators
Software for writing protocols and running them on the Opentrons Flex and Opentrons OT-2
[IROS 2025] OceanSim: A GPU-Accelerated Underwater Robot Perception Simulation Framework
Learn Robotics with JdeRobot
Robotics vision SDK
A brain that learns from live experience. System 1 by default: perception, memory, plasticity and action. Optional System 2 for self-observation and slow corrections.
EMERGE-Policy: A Robot Mind Emerges Beyond a Single Policy
Open Reality: phone video to AI-queryable 3D scenes. MCP tools for Claude/Codex/Cursor (npm openreality-mcp), the self-hostable broker, and the VGGT-SLAM library, in one repo. BSD-2-Clause.
A unified framework for training, fine-tuning, and evaluating World Action Models
SDK for robotics teams to verify the quality of their data used for AI model training.
Camera-only autonomous drone in MuJoCo with a small judgment model (TypeSafe Jev) in the loop at 2.5Hz
Browser teleoperation data for embodied AI β elizaOS-ready episodes, trajectory_db converter, onchain provenance. The fuel station for agent robot stacks.
One CLI for all your robots. Connect them, command them, and let them work together, each with an LLM for a brain (Claude, OpenAI, Gemini, Grok, or local via Ollama or vLLM), VLAs for arms and decision LLMs (Jev, Laya, Kev). Drives Microduck, Open Duck Mini, LeRobot, XLeRobot, AlohaMini, ToddlerBot, or any ROS 2 base from a laptop, offboard.
A fruit fly connectome as a drone pilot. Camera -> fly eyes -> spiking brain -> descending neurons -> drone. Live 3D demo in your browser.
A robotic harness that gives LLM agents a visual-geometric control panel so that they can directly understand and invoke embodied tasks.
β
Experimental Drosophila-inspired camera-to-robot bridge. Working mock neural backend, optical flow, IMU feedback and UDP motor control. MaleCNS integration planned.
Flex-Ο: A multi-stream world-action model with compute flexibility: one checkpoint that deploys as a VLA, a full world model, or anything in between.
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
Eyes are All JEV Needs - real time visual devisions from RGB, video and RGB-D cameras.
Evidence-first runtime for a wheeled mobile household robot with bounded actions, replayable events, and fail-closed verification.
An embodied task agent that connects perception, action, verification, and learning in a continuous physical-world loop
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
A library of experiments using frontier LLMs/VLMs for robotics tasks, currently focusing on GPT-6 Astra.
System 1 decision models (Jev, Laya, Cua-S1) as brain for agents: Browser use, computer use, games and robotics
HOI-Retarget: Contact-Centric Retargeting for Human-Object Interaction
SURE-Map: Self-Correcting Streaming Geometric Foundation Models
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
LiLa-WAM: Lightweight Latent Reasoning World-Action Model for Robotic Manipulation
[NeurIPS 2026] Beyond Data Scaling: Representation-Centric Continued Pre-training for Vision-Language-Action Models
ROS 2 and NVIDIA Isaac Sim based air-ground cooperative delivery system with robotic grasping and UAV visual alignment.
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
A large-scale synchronized visionβtouchβaudio dataset of robotic sliding contact
Turn world-model imagination into corrective training data for robot policies β a single-GPU, falsifiable pipeline (SmolVLA Β· LIBERO Β· CEM Β· paired simulator replays).
Companion repository for βIn-Context Learning for Robots: Methods and Applicationsβ β methods, datasets, and benchmarks organized by taxonomy and release date.
A controllable benchmark for robotic manipulation
Official Implementation of "WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN"
official reimplementation of AME-2
Code of paper "KERV: Kinematic-Rectified Speculative Decoding for Embodied VLA Models" accepted by DAC 2026.
preview of PhysicalRSI infra an engine
InternW0-Ξ : A World Action Model Bridging Predictive Dynamics and Actions with 20K+ Hours of Open Data
[CoRL 2026] The official implementation of "AdaPT: Towards Professional Tennis Styles for Humanoid Robots with Adaptive Motion Planning and Tracking."
Implementation of RoboTTT proposed by Yunfan Jiang et al. of Stanford and Nvidia