Axis Weekly This week was about trust and transfer: making community data cleaner, generated tasks broader, and trained policies more robust as they move from simulation to real robots. Key updates: - Data quality: We completed a suspicious-user audit script to detect abnormal collection behavior using user statistics and replay/verify failure reasons. - Webapp and simulation: We improved key gripper and asset interactions, including penetration, heavy-object grasping, and IK flexibility. - Recover-from-failure: We tested Failure Task 892 and collected 300+ failure initial states, with the next round moving to repaired and more randomized tasks. - TaskGen: Articulated-object generation is now merged into the automatic generation pipeline, covering cabinets, dishwashers, drawers, and existing randomization workflows. - Model and real-world stack: We completed the first round of fine-tuning, evaluation, and benchmarking, merged the π0.5 evaluation pipeline into the real-world stack, and started bringing a new embodiment into the loop. A closer look at this week’s progress 🧵