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Perspectives in Autonomous Systems Research [In the Spotlight]

机译：自治系统研究的观点[聚焦]

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Examines the role of signal processing engineers in autonomous systems research. Today, many devices (e.g., cars and other vehicles) we operate for various tasks (e.g., to go from place A to place B) are changing: in the past, they were characterized by a body and control actuators that allowed us to perform these tasks. These days, they are not simply passive recipients of our instructions; rather, they have become proactive tools performing the assigned task (or parts of it) by making autonomous decisions based on signals from their sensors. Therefore, more of these devices can be classified as autonomous systems. The level of autonomous decision making can be device dependent but, in every case, involves efficient multimodal signal processing capabilities. Such devices become our agents and have to relate multisensorial data representations to their actions and to the action context. Such a context includes the target of the agent’s task, i.e., the action motivation and the user, in cases in which the task is only partially automated.
机译：检查信号处理工程师在自主系统研究中的作用。如今，我们为执行各种任务（例如从地点A到地点B）而操作的许多设备（例如汽车和其他车辆）正在发生变化：在过去，它们的特征在于车身和控制执行器，使我们能够执行这些任务。如今，它们已不仅仅是我们的指示的被动接受者；相反，它们已经成为主动工具，可以根据传感器的信号进行自主决策，从而执行分配的任务（或任务的一部分）。因此，这些设备中的更多设备可以归为自治系统。自主决策的水平可能取决于设备，但在每种情况下都涉及有效的多模式信号处理能力。这些设备成为我们的代理，必须将多传感器数据表示与其动作和动作上下文相关联。在任务仅部分自动化的情况下，此类上下文包括座席任务的目标，即动作动机和用户。

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