Despite great advances in what robots can do, they still experience failures in human-robot collaborative tasks due to high randomness in unstructured human environments. Moreover, a human's unfamiliarity with a robot and its abilities can cause such failures to repeat. This makes the ability to failure explanation very important for a robot. In this work, we describe a user study that incorporated different robotic failures in a human-robot collaboration (HRC) task aimed at filling a shelf. We included different types of failures and repeated occurrences of such failures in a prolonged interaction between humans and robots. The failure resolution involved human intervention in form of human-robot bidirectional handovers. Through such studies, we aim to test different explanation types and explanation progression in the interaction and record humans.
翻译:尽管机器人的能力大大提高,但它们在人机协作任务中仍然会由于无序的人类环境中的高随机性而发生故障。此外,人对机器人及其能力的陌生感可能导致这些失败重复发生。这使得故障解释的能力对机器人非常重要。在这项工作中,我们描述了一个用户研究,该研究将不同的机器人故障纳入了填充货架的人机协作(HRC)任务中。我们包括不同类型的故障和这些故障在人与机器人之间的长期交互中重复出现。故障解决涉及到人的干预,以人机双向递交的形式进行。通过这些研究,我们旨在测试不同类型的解释和交互过程中的解释进展,并记录人类反应。