ROBOU · CURRICULUM ARCHITECTURE
Structured tracks connected to EAR intelligence — companies, jobs, open models, sectors, and robot types. Modular curriculum architecture; first live module pack available now.
Not a degree program · Not accredited · Honest status labels
FIRST LIVE MODULE · PUBLISHED
A beginner-friendly introduction to what robots are, how they are built, and how they sense, decide, and act.
Discuss this learning path or ask for placement help — seeded prompts only, not live forum activity.
Ask the community for honest kit recommendations — simulation-first options welcome. Not live forum data.
Build Logs room — photos, BOM, failures, and simulation vs hardware notes. Community thread coming soon.
Beginner Robotics + Learn — placement questions without pretending threads are live on Discourse yet.
University-style introduction to what robots are, how they sense-decide-act, and how to map your first system. Connects to EAR companies, jobs, and open models — not a blog series.
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Module 1 live — five beginner lessons at /learn/curriculum/robotics-foundations/module-1. Not a degree; not accredited.
START MODULE 1 →Power, sensors, motor drivers, safety, and debugging — the hardware layer every robot builder needs.
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Python, control loops, simulation hooks, and reading real robot code — without skipping to advanced ML.
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Vectors, transforms, probability, and optimization — taught through robot motion and perception examples.
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How robots perceive and move — selection, calibration, failure modes, and lab exercises.
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Humanoids, AMRs, arms, drones, and industrial cells — when each architecture wins and what jobs they create.
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Nodes, topics, services, TF, and bring-up — the middleware layer most production robots share.
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Map skills to roles, portfolios, and hiring signals — connected to EAR jobs and company intelligence.
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Status workflow: planned → drafting → published. No course is marked published until human review and editorial sign-off.