机器人
计算机科学
人机交互
人机交互
领域(数学)
无人机
动作(物理)
人工智能
数学
遗传学
量子力学
生物
物理
纯数学
作者
Hadas Kress-Gazit,Kerstin Eder,Guy Hoffman,Henny Admoni,Brenna Argall,Rüdiger Ehlers,Christoffer Heckman,Nils Jansen,Ross A. Knepper,Jan Křetínský,Shelly Levy-Tzedek,Jamy Li,Todd D. Murphey,Laurel D. Riek,Dorsa Sadigh
出处
期刊:Communications of The ACM
[Association for Computing Machinery]
日期:2021-08-24
卷期号:64 (9): 78-84
被引量:19
摘要
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.
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