Learning progress
Mark docs as read and projects as done. Progress lives in localStorage on this browser — no sign-in. Click any dot to toggle.
Research docs
0 of 160%
Hands-on projects
0 of 200%
Research docs
- 00Overview — Physical AI in 2026~30m
- 01AV industry and data~90m
- 02Robotics foundation models~60m
- 03Simulation and synthetic data~90m
- 04Labeling and data curation~120m
- 05World models and generative~60m
- 06Open problems and benchmarks~60m
- 07Learning roadmap with mini-projects~45m
- 08Connections and gaps~30m
- 09Research frontier and outlook~50m
- 10Glossary~35m
- 11Key papers and blogs — reading list~25m
- A0Auto industry — overview & timeline~12m
- A1Auto history: Motorwagen to mass production (1886–2000s)~25m
- A2Auto players: OEMs, Tier-1 suppliers & consolidation~18m
- A3Auto's EV & autonomy era: the data-engine turn~30m
Projects
Phase AData fluency
Phase BLabeling fundamentals
Phase CProduction hygiene
Phase DSimulation and world models
Phase ERobotics adjacency
Phase FBehavior, sim agents, closed-loop
Phase GActive learning + capstone
Phase HStrategy
Phase IFrontier extensions (Round 3)
Progress is stored locally in this browser (no account). Click any dot to toggle.