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A novel framework reveals that psychological safety risks in autonomous vehicles can be systematically assessed and prioritized, bridging the gap between human factors and technology.
Mobile robots can now learn to be risk-averse (or risk-seeking) in unstructured environments, adapting their behavior based on live depth camera feeds.