you can collect robot training data without robots now HiFi-UMI records humans performing tasks with a handheld gripper, then uses that data to post-train policies that deploy directly on real robots Across 3 model families, it matched robot teleoperation within 3.1 percentage points Best result: 85% success on precision insertion. it's just a matter of collecting accurate human demonstrations now.

Really glad I finally got to visit @XSquareRobot. We got an early look at XRZero-G0, their open-source full-body data collection and training system that works without requiring a physical robot body. At the time it hadn’t been officially released yet, so we couldn’t share anything haha. Now they’ve officially launched the QUANXTA Zero series — a robot-free embodied data production platform. This is not just a hardware setup. It’s a full-stack system that connects data collection, high-fidelity synchronization, automatic cleaning, intelligent annotation, embodied model training, robot inference, and evaluation loops — all in one pipeline. The goal is very clear: close the “last mile” gap between data and models, and build scalable infrastructure for embodied AI. QUANXTA Zero comes in three setups for different capture scenarios: → G1 (UMI-VIO): dual grippers with a head-mounted rig, balancing quality, usability, and endurance → G0 (UMI-VR): full-body mobile data capture → E0 (Ego): lightweight head-mounted setup for first-person data collection In short, it’s building the data foundation for embodied intelligence. Data is what drives intelligence emergence in large models — both scale and quality matter. If the data flywheel is already spinning, real home robots might be closer than we think. @TheHumanoidHub @dolylupec