不要让玩家陷入困境!:增加代理的自主性

Grzegorz Wieczerzak, K. Kozlowski
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引用次数: 0

摘要

目前仍然缺乏构建多机器人系统的方法,这些系统可以很容易地在新的功能块上进行修改或扩展。此外,机器人技术中最流行的范例之一,基于行为的控制,尽管它能够提供架构透明度和描述机器人行为的直观方法,但不允许我们预测系统的最终质量和性能。例如,为了提高机器人的安全性和维持其操作,我们可以考虑传感器的所有潜力。在本文中,我们介绍了我们的多智能体体系结构的现状,展示了它们的反应性。我们提出了一个简单的陷阱恢复行为,它可以由机器人在异常情况下执行,例如硬件故障。另一方面,我们指定了一个多机器人构造域,它将作为我们控制策略的可扩展测试平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Don't let player get stuck!: Increasing the autonomy of agents
There is still a lack of methods to build multi-robot systems that might be easily modified or expanded on new functional blocks. Moreover, one of the most popular paradigms in robotics, the behavior-based control, despite of its ability to provide architectural transparency and intuitive means of describing the behaviors of robots, does not allow us to predict final quality and performance of the system. To increase safety of robots and the sustainment of their operations, for example, we can consider all the potential of sensors. In this paper we present current state of our multi-agent architecture, exhibiting their reactive properties. We present a simple trap recovery behavior, which can be executed by robots in a case of abnormal situations, e.g. hardware malfunction. On the other hand, we specify a multi-robot construction domain, which will serve as a scalable testbed for our control strategy.
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