#Physical-ai
Showing 10 of 10 repositories tagged #physical-ai, ranked by stars
Kubernetes-native IoT gateway
Copper is an operating system for robots - build, run, and replay your entire robot deterministically.
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.
Open-source MAVLink fleet operations for PX4: SITL, drone shows, search and rescue, cooperative autonomy, and field validation
Curated embodied AI list: surveys, VLA models, datasets, simulators, humanoids, robot learning, and safety resources.
The open infrastructure for Physical Intelligence. ROSClaw grounds AI agents into the physical world through e-URDF, sandbox safety, capability providers, praxis capture, memory, runtime intervention, and self-evolving skills.
Testable world-model workflows for physical-AI systems.
The Pulse of Motion: Measuring Physical Frame Rate from Visual Dynamics
EmbodiedAgents is a fully-loaded ROS2 based framework for creating interactive physical agents that can understand, remember, and act upon contextual information from their environment.