Physical AI harness your agents need. An open-source, continuously evolving collection of field-tested robotics expertise spanning the leading Physical AI frameworks, simulators, libraries, and developer tools. Install Robium as a plugin to empower your favorite AI coding agent with the robotics skills it needs.
Post-build editorial publication for an already implemented and smoke-tested robium reference application: compose its catalog entry, overview, working surface, article/guide, source links, media, and metadata from repository-owned facts. Use when: 'publish this finished application', 'add this tested project to…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision — middleware, simulation, data, visualization, training frameworks — plus a scaffold plan and a written architecture brief. Use when: starting any…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision (middleware, simulation, data, visualization, training frameworks) plus a scaffold plan and a written architecture brief. Use when: starting any new…
Entry-point skill for designing robotics applications with AI agents. Turns requirements (robot type, task, hardware, sim-vs-real, GPU/budget) into a full stack decision (middleware, simulation, data, visualization, training frameworks) plus a scaffold plan and a written architecture brief. Use when: starting any new…
Entry-point skill for shaping new robotics applications: lightweight brainstorming, project ideation, requirement/risk discovery, stack selection, comparing or choosing simulators/models/visualization, a first user-visible slice, and a concise architecture decision record. Use when: starting a new robotics app…
Entry-point skill for shaping new robotics applications: lightweight brainstorming, project ideation, requirement/risk discovery, stack selection, comparing or choosing simulators/models/visualization, a first user-visible slice, and a concise architecture decision record. Use when: starting a new robotics app…
Deploy headless robotics / sim / demo containers to Google Cloud Run: the build → Artifact Registry → Cloud Run path plus the gotchas that bite sim workloads (no UDP multicast for gz-transport/DDS, CPU allocated only while a request is open, session affinity for per-visitor instances, request timeout / concurrency for…
Deploy headless robotics / sim / demo containers to Google Cloud Run: the build → Artifact Registry → Cloud Run path plus the gotchas that bite sim workloads (no UDP multicast for gz-transport/DDS, CPU allocated only while a request is open, session affinity for per-visitor instances, request timeout / concurrency for…
Data sourcing strategy for robotics and physical-AI: choose between offline datasets (HuggingFace hub, Open X-Embodiment and similar), simulation-generated data, and teleop/real-robot collection; plan storage formats, episode structure, and dataset versioning. Use when: 'where do we get data', 'training data for the…
Data sourcing strategy for robotics and physical-AI: choose between offline datasets (HuggingFace hub, Open X-Embodiment and similar), simulation-generated data, and teleop/real-robot collection; plan storage formats, episode structure, and dataset versioning. Use when: 'where do we get data', 'training data for the…
Virtual-environment-first setup for robotics projects: decide uv/venv vs Docker, make local and remote-server runs reproduce identically, handle GPU passthrough and headless/display forwarding. Use when: setting up any new robotics project environment; 'uv', 'venv', 'virtualenv', 'docker for this project'…
Foxglove for robotics visualization: foxglovebridge setup for live ROS 2 robots, layouts, MCAP recording and playback, and remote/web visualization of robots running on servers. Use when: 'foxglove', 'mcap', visualizing a robot running on a remote server, sharing visualization with others, or recording sessions for…
Foxglove for robotics visualization: foxglovebridge setup for live ROS 2 robots, layouts, MCAP recording and playback, and remote/web visualization of robots running on servers. Use when: 'foxglove', 'mcap', visualizing a robot running on a remote server, sharing visualization with others, or recording sessions for…
Foxglove for robotics visualization: foxglovebridge setup for live ROS 2 robots, layouts, MCAP recording and playback, and remote/web visualization of robots running on servers. Use when: 'foxglove', 'mcap', visualizing a robot running on a remote server, sharing visualization with others, or recording sessions for…