A hands-on 2026 Isaac Lab tutorial for reinforcement learning: environments, the training loop, reward design, sim-to-real transfer, and a working example.
An updated 2026 reference architecture for autonomous vehicles: the sense-plan-act stack, sensor fusion, safety cases, and the compute platform - refreshed.
An analytical 2026 look at humanoid robots moving from pilots to production lines: Figure, Schaeffler, Unitree deployments, the economics, and what still blocks scale.
Tesla Optimus Gen 3 architecture deep-dive — onboard compute stack, custom actuators, battery design, vision pipeline, and how Tesla differs from Figure and 1X.
MoveIt 2 vs Tesseract for robot motion planning — planners, collision checking, trajectory optimization, and a decision matrix for manipulation stacks.