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Real-world robot networks create hostile radio environments due to their highly dynamic communication topologies and stringent real-time transmission requirements. In this article, we propose improvements to contention-based networks that utilize inter-robot navigation information for safer robot motion control in dense multi-robot settings. Toward this end, we introduce a Crash Risk Prioritization (CRP) index, which is employed as the core metric in a scheme of dynamic beacon rate control. Key to our approach is a coupled evaluation setup that allows us to evaluate the impact of network-level changes on the safety of robot navigation. Our results demonstrate that the co-design and simulation of robotic control algorithms and network protocols provide key insights and metrics into the network-level requirements for V2V systems. These insights allow us to make informed conclusions about how such networks can be best served by emerging standards.
Gielis et al. (Fri,) studied this question.
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