Axis Robotics Releases AXIS: A Browser-Based Data Engine With 207 Robot Manipulation Tasks and 50,129 Trajectories
MarkTechPost Michal Sutter
Axis Robotics released AXIS, a browser-based system and dataset pipeline for collecting robot manipulation demonstrations with backend GPUs and a continually growing dataset concept. The released snapshot includes 207 tasks and 50,129 verified trajectories, gated at 2.36 TB for non-commercial academic use. Training improves the π0.5 model on LIBERO-Plus to 88.8 (from 83.9 baseline) while data cleaning reduces replay success to 86.2%.
Why it matters
Robot datasets have grown far slower than the models trained on them, mostly because collection stays locked to lab hardware. AXIS moves demonstration collection into a web browser and pushes everything expensive to backend GPUs. The result is 207 tasks and 50,129 verified Franka trajectories, and continual pretraining that lifts π0.5 from 83.9 to 88.8 on LIBERO-Plus while a volume-matched RoboCasa365 control reaches only 57.5. The post Axis Robotics Releases AXIS: A Browser-Based Data Engine With 207 Robot Manipulation Tasks and 50,129 Trajectories appeared first on MarkTechPost.
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