机器人急救:自动驾驶汽车可以在紧急情况下提供帮助

M. Cooney, Felipe Valle, A. Vinel
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引用次数: 1

摘要

在设计能够在复杂、混合交通、真实城市环境中有效运行的自动驾驶汽车(AVs)时,安全性至关重要。之前的一些研究着眼于如何通过安全距离和驾驶员监控来主动避免事故,但目前很少有研究探索从犯罪到自然灾害等紧急情况中恢复的策略。当前的短文报告了我们正在进行的工作,使用推测原型方法来探索这一广阔的设计空间,在自动驾驶汽车内部的机器人如何部署以支持急救的背景下。因此,我们提出了一些关于如何检测紧急情况、检查和帮助受害者的建议,以及在原型设计中吸取的经验教训。因此,我们的目标是激发讨论和想法,考虑到墨菲定律在我们这个复杂的世界中的流行,以及各种技术、伦理和实际问题,可能会导致有用的安全创新。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robot First Aid: Autonomous Vehicles Could Help in Emergencies
Safety is of critical importance in designing autonomous vehicles (AVs) that will be able to perform effectively in complex, mixed-traffic, real-world urban environments. Some prior research has looked at how to proactively avoid accidents with safe distancing and driver monitoring, but currently little research has explored strategies to recover afterwards from emergencies, from crime to natural disasters. The current short paper reports on our ongoing work using a speculative prototyping approach to explore this expansive design space, in the context of how a robot inside an AV could be deployed to support first aid. As a result, we present some proposals for how to detect emergencies, and examine and help victims, as well as lessons learned in prototyping. Thereby, our aim is to stimulate discussion and ideation that–by considering the prevalence of Murphy’s law in our complex world, and the various technical, ethical, and practical concerns raised–could potentially lead to useful safety innovations.
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