为行为生物学实验建造一个安全的机器人

A. Gribovskiy, J. Halloy, J. Deneubourg, F. Mondada
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引用次数: 5

摘要

在行为生物学中,尤其是在群居动物的研究中,被动物视为同类的机器人是一个非常强大的工具。然而,在动物和机器人共享相同物理环境的实验中,总是存在机器人事故可能导致动物受伤的风险。必须制定安全法规来指导设计本质安全的机器人硬件和软件。目前在实验生物学中还没有解决这个问题。在本文中,我们提出了我们的努力,建立一个安全的机器人,以家鸡的实验。我们使用的方法是基于在物理人机交互领域所做的机器人安全研究。在机器人的机械设计、控制系统和实验环境中引入了安全元素。我们展示了在特定情况下,当机器人可用的局部信息不足以检测异常情况时,外部视觉系统提供的全局信息可以被基于极值理论的新颖性检测系统使用。我们相信这项研究可以为机器人研究人员提供有用的机器人为生物学研究,因为所提出的概念是普遍的,可以应用于其他类型的动物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Building a safe robot for behavioral biology experiments
A robot accepted by animals as conspecific is a very powerful tool in behavioral biology, particularly in studies of gregarious animals. However in experiments where animals and robots share the same physical environment, there is always a risk of a robot accident that can lead to animal injuries. Safety regulations have to be developed to guide the design of an intrinsically safe robotic hardware and software. Currently this question is not addressed in experimental biology. In this paper, we present our efforts to build a safe robot for experimentation with domestic chickens. The methodology we use is based on robot safety studies done in the field of physical humanrobot interaction. The safety elements were introduced in the mechanical design of the robot, its control system and into the experimental environment. We show how in particular cases, when local information available to the robot is insufficient to detect an abnormal situation, the global information provided by the external vision system can be used by a novelty detection system based on extreme value theory. We believe that this study can be useful for robotic researchers providing robots for biological studies, as the concepts presented are universal and can be applied to other types of animals.
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