实现多机器人系统的可读性

Beatrice Capelli, María Santos, Lorenzo Sabattini
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引用次数: 0

摘要

交流对于人机协作任务至关重要。在这种情况下,可读性研究将运动作为机器人系统与人类观察者之间隐性交流的手段。这一概念主要针对机械手和仿人机器人进行研究。相比之下,文献中关于多机器人系统或机器人群可辨识性的信息很少,在这些系统或机器人群中,机器人的简单性和非拟人化,以及它们之间复杂的交互和聚合行为带来了不同的挑战,而这些挑战在单机器人场景中是不会遇到的。本文研究的是多机器人系统的可识别性。因此,我们扩展了可辨识性的定义,纳入了机器人群协调目标方面的高层次目标信息,而以往的成果仅关注空间目标的可辨识性。我们实施了一套与不同协调目标相对应的标准多机器人算法,并在一项用户研究中对其可读性进行了评估,参与者在虚拟现实设置中观察多机器人系统的行为,并被要求识别系统的空间目标和协调目标。研究结果证实,用户可以识别协调目标,因此可以控制多机器人系统,使其在空间目标和协调目标方面具有可识别性。
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Towards the Legibility of Multi-Robot Systems
Communication is crucial for human-robot collaborative tasks. In this context, legibility studies movement as the means of implicit communication between robotic systems and a human observer. This concept has been explored mostly for manipulators and humanoid robots. In contrast, little information is available in the literature about legibility of multi-robot systems or swarms, where simplicity and non-anthropomorphism of robots, along with the complexity of their interactions and aggregated behavior impose different challenges that are not encountered in single-robot scenarios. This paper investigates legibility of multi-robot systems. Hence, we extend the definition of legibility, incorporating information about high-level goals in terms of the coordination objective of the group of robots, to previous results that focused solely on the legibility of spatial goals. A set of standard multi-robot algorithms corresponding to different coordination objectives are implemented and their legibility is evaluated in a user study, where participants observe the behavior of the multi-robot system in a virtual reality setup and are asked to identify the system’s spatial goal and coordination objective. The results of the study confirmed that coordination objectives are discernible by the users, hence multi-robot systems can be controlled to be legible, in terms of spatial goal and coordination objective.
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