Trustworthy Memory Practices for Better Living and Working with Robots

Trustworthy Memory Practices for Better Living and Working with Robots
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值得信赖的记忆实践,让机器人更好地生活和工作

DOI:
10.1145/3597512.3597516
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发表时间:
2023
期刊:
ACM
影响因子:
--
通讯作者:
Hart, Justin
Hart, Justin
中科院分区:
--
文献类型:
--
作者:
Baker, Samuel;Hauser, Elliott;Hart, Justin

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机器人科学,像其他面向未来的技术科学领域一样,与过去有着复杂的关系。该领域的大部分历史都是最近才出现的,没有被载入科学史,而是在实验室会议和研究会议上口头流传下来。研究机器人是机器人科学历史学家的关键文物,当它们不再具有科学价值时,它们就有很高的丢失危险,这使得获取和解释过去的结果变得更加困难。我们提出了一项努力,将历史的认识方式纳入现有的跨学科机器人项目。这项工作包括与档案保管员和数据科学家合作,并通过深入植入机器人的日常实践来获取信息。通过收集重要的文档和人工制品,发布生产和存储数据的最佳实践,以及与机器人专家在实践中的日常互动,我们的团队寻求开发值得信赖的记忆实践,这些实践将更好地解释,并有可能帮助改进与机器人一起生活和工作的研究。
Robotic science, like other future-oriented technoscientific fields, has a complex relationship with its past. Much of the field’s history is too recent to have entered the scientific history books, and is instead passed down orally within lab meetings and at research conferences. Research robots, key artifacts for historians of robotic science, are in high danger of being lost when they are no longer scientifically valuable, making access to and interpretation of past results more difficult.We present an effort to incorporate historical ways of knowing into an existing transdisciplinary robotics project. The effort includes partnerships with archivists and data scientists and is informed by deep embedding into the daily practice of robotics. By combining the collection of significant documents and artifacts, and the promulgation of best practices for producing and storing data, with day-to-day interaction with roboticists in the midst of their practice, our team seeks to develop trustworthy memory practices that will better interpret, and potentially help improve, research into living and working with robots.
在非线性数字档案中表示机器人历史的概念基础
DOI: --
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