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Beyond Onboard Sensors in Robotic Swarms Local Collective Sensing through Situated Communication

机译:超越机器人群中的船上传感器通过定位的通信群体集体感应

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The constituent robots in swarm robotics systems are typically equipped with relatively simple, onboard sensors of limited quality and range. When robots have the capacity to communicate with one another, communication has so far been exclusively used for coordination. In this paper, we present a novel approach in which local, situated communication is leveraged to overcome the sensory limitations of the individual robots. In our approach, robots share sensory inputs with neighboring robots, thereby effectively extending each other's sensory capabilities. We evaluate our approach in a series of experiments in which we evolve controllers for robots to capture mobile preys. We compare the performance of (i) swarms that use our approach, (ii) swarms in which robots use only their limited onboard sensors, and (iii) swarms in which robots are equipped with ideal sensors that provide extended sensory capabilities without the need for communication. Our results show that swarms in which local communication is used to extend the sensory capabilities of the individual robots outperform swarms in which only onboard sensors are used. Our results also show that in certain experimental configurations, the performance of swarms using our approach is close to the performance of swarms with ideal sensors.
机译:群体机器人系统中的组成机器人通常配备有有限的质量和范围的相对简单的板载传感器。当机器人具有彼此通信的能力时,到目前为止,通信已经专门用于协调。在本文中,我们介绍了一种新的方法,其中局部地沟通被利用来克服各个机器人的感官局限。在我们的方法中,机器人与相邻机器人共享感觉输入,从而有效地延长彼此的感官能力。我们在一系列实验中评估我们的方法,我们在其中寻求机器人的控制器以捕获移动捕食。我们比较使用我们的方法的(i)群体的性能,(ii)机器人只使用其Limited车载传感器的群体,以及(iii)机器人配备了理想传感器的群体,这些传感器提供扩展的感官能力而无需沟通。我们的结果表明,用于扩展各个机器人的感觉能力的群体,其中仅使用仓库群。我们的结果还表明,在某些实验配置中,使用我们的方法的群体的性能接近群体的性能与理想传感器。

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