@James

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Real robot, two arms, 1x speed. The task is deliberately reactive: the puck keeps moving, so a policy that only maps the current camera frame to a motor command tends to lag a fraction of a second and lose it. The approach on screen is a predict-then-correct loop. Rather than going straight from camera to action, the policy predicts how the scene will move over the next moments, acts inside that predicted future, then re-grounds on each real frame that arrives so it does not drift. That is what keeps it in sync with a fast target. The model behind it is LingBot-VA 2.0, a video-action policy. Genuinely curious what people here make of the world-model-first framing (predict the near-future scene, then act on it) versus a plain reactive VLA with enough data. Source and the honest limits in a comment. submitted by /u/Even-Implement-1442 [link] [Kommentare]

My new video on building a low-cost autonomous robot is out: how to set up the robot hardware so it's fully ready to drive. It shows how to set up the electronics in the Viam Rover, wire in and mount the Radxa X4 with custom breadboard electronics, and attach the RealSense depth module and external battery. Take a look! https://youtu.be/EDS5Ni4JcXw submitted by /u/mikelikesrobots [link] [Kommentare]

Friendly local dev domains for app repos.