Kubernetes-native IoT gateway
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Updated
Jun 26, 2026 - Go
Kubernetes-native IoT gateway
Copper is an operating system for robots - build, run, and replay your entire robot deterministically.
Mosaico - The data platform for Physical AI
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.
Collection of best practices, reference architectures, model training examples and utilities to train large models on AWS.
🦾 Runtime for Physical AI. Connect streams. Detect events. Control your world.
A curated list of academic papers and resources on Physical AI — focusing on Vision-Language-Action (VLA) models, world models, embodied ai, and robotic foundation models.
Open-source MAVLink fleet operations for PX4: SITL, drone shows, search and rescue, cooperative autonomy, and field validation
CLI for Robot Training and Deployment
Curated embodied AI list: surveys, VLA models, datasets, simulators, humanoids, robot learning, and safety resources.
A C and Python library for physically accurate, real-time, sensor simulation and visualization using NVIDIA Omniverse RTX
A curated list of research and projects on world models
Robotics Data Toolkit | Convert between robotics dataset formats (RLDS, LeRobot v2/v3, Zarr, HDF5, Rosbag). Inspect, visualize, and analyze datasets. Works with HuggingFace Hub. Built for OpenVLA, Octo, LeRobot, and Diffusion Policy workflows.
Self-evolving runtime infrastructure for Physical AI and embodied agents. Ground AI agents into robot bodies with e-URDF, sandbox safety, capability routing, praxis capture, physical memory, runtime intervention, and skill evolution.
ROBOTIS Physical AI Tools: Physical AI Development Interface with LeRobot and ROS 2
Visual Asset Management System (VAMS) is a purpose-built, AWS native solution for the management and distribution of traditional to specialized visual assets used in physical AI and spatial computing.
Harness framework to build world model based workflows for physical AI systems.
A curated list of Robotics + AI resources to learn, build, deploy, and stay current in Physical AI / Embodied AI. 🌟 Star if you like it!
🔥PhysInOne in Python (CVPR 2026)
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