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It is argued that trustworthy public-safety UAV robotics requires verifying not only who controls a robot, but also whether its own reasoning, tool use, and evidence handling can be trusted.
A human-centric edge intelligence framework that integrates federated reinforcement learning (FRL) with interpretable human–machine interfaces for urban traffic coordination and provides a practical pathway for evaluating intelligent mobility systems that balance decentralized optimization, privacy preservation, interp...
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