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AMI Labs' robot planner hit seventy percent pick-and-place with no extra training data
Hierarchical world-model planning raised pick-and-place success from zero to seventy percent on a real Franka robot without retraining. AMI Labs presented HWM at Physical AI Tech Week in Seoul, ...
Xiaomi-Lens-0, a 4B multimodal model built on Qwen3.5, averages 5.6 points of gain over its backbone across the eight RefCOCO, RefCOCO+ and ...
Oscillation rate was an even better predictor of cell identity than distance to the crypt base. 0 citation in Web of Science With conventional methods and available experimental interventions, it ...
Constraining policies to select behavior modules allows reinforcement learning transfer from simulation to real robot swarms.
Women don’t typically run toward danger the way Kaylub Giamanco did to stop a school shooting in Bend, Ore. The famed British author may have seen a ghost—and never fully gave up on the possibility of ...
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