The MIT algorithm helps robots to guess where are humans going



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Rather than simply relying on the distance of points on a person's body, in the manner of common systems, the new approach aligns the segments of a person's trajectory with a set of reference movements. Plus, it also takes timing into account – he knows you're not about to change course if you're just starting to move.

As a result, robots should be more confident, but not foolhardy. In simulations based on earlier human motion data, automata were less prone to panic and quickly returned to work after a person's passing.

Much remains to be done before this algorithm can reach the real world, but its usefulness is obvious. Factory and warehouse robots could work closely with humans without slowing down or risking injury. MIT added that it could also be used for other interactions, such as the recognition of actions and gestures. In other words, robots could better understand human behavior as a whole.

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