A hybrid of probabilistic roadmaps and bidirectional A* search produced shorter paths and faster planning times than Dijkstra ...
An in-person experiment with 35 participants found that a straight wall-following path was the most comfortable robot route ...
Tech Times on MSN
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, ...
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