Axis Weekly This week, we focused on making the robotics data loop more measurable and reproducible: separating real user signals from bot traffic, expanding TaskGen into articulated-object tasks, and turning data-to-model workflows into repeatable services. Key updates: - Data quality: Task 805’s high failure rate was driven by bots, not real players. - TaskGen: Codebase delivered for an upcoming update that will support end-to-end generation of articulated-object tasks from prompts. - Simulation and data infra: Asset bugs fixed, and the automated recover-from-failure pipeline is nearing full deployment. - Model training: Achieved a ~40% success rate in cross-simulation evaluation (IsaacLab to MuJoCo). - Sim-to-real: Updated the domain randomization roadmap to heavily boost physical parameter diversity. A closer look at this week’s progress 🧵