$GMGN
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Browser-based robot control is becoming a powerful source of high-quality training data with @axisrobotics . Tasks run locally in real time with MuJoCo WebAssembly and Three.js. Contributors control a robotβs end effector while every action and simulator state is recorded. In
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AI visual note: A diagram detailing pre-training tasks via human demonstration and post-training tasks through human correction, showing a control panel interface with options like 'DRAG', 'DOUBLE-CLICK', and 'KEYBOARD' inputs to record demonstration trajectories, followed by a correction workflow where a robot is corrected within a 30-second takeover budget.