Robot capabilities are maturing across domains, from self-driving cars, to bipeds and drones. As a result, robots will soon no longer be confined to safety-controlled industrial settings; instead, they will directly interact with the general public. The growing field of Human-Robot Interaction (HRI) studies various aspects of this scenario - from social norms to joint action to human-robot teams and more. Researchers in HRI have made great strides in developing models, methods, and algorithms for robots acting with and around humans, but these "computational HRI" models and algorithms generally do not come with formal guarantees and constraints on their operation. To enable human-interactive robots to move from the lab to real-world deployments, we must address this gap. This article provides an overview of verification, validation and synthesis techniques used to create demonstrably trustworthy systems, describes several HRI domains that could benefit from such techniques, and provides a roadmap for the challenges and the research needed to create formalized and guaranteed human-robot interaction.

中文翻译：

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形式化和保证*人机交互

从自动驾驶汽车到两足动物和无人机，机器人功能在各个领域都日趋成熟。因此，机器人很快将不再局限于安全控制的工业环境；相反，他们将直接与公众互动。不断发展的人机交互 (HRI) 领域研究了这种情况的各个方面——从社会规范到联合行动，再到人机团队等等。HRI 的研究人员在为与人类一起行动和围绕人类行动的机器人开发模型、方法和算法方面取得了长足的进步，但这些“计算 HRI”模型和算法通常对其操作没有正式的保证和约束。为了使人机交互机器人能够从实验室转移到现实世界的部署，我们必须解决这一差距。本文概述了验证，