The article "Human-Robot Interaction: A Survey" by Michael A. Goodrich and Alan C. Schultz provides an extensive overview of the field of Human-Robot Interaction (HRI). The authors aim to present a unified treatment of HRI-related problems, identify key themes, and discuss challenge problems that are likely to shape the field in the near future. They begin by defining HRI as the study of understanding, designing, and evaluating robotic systems for use by or with humans, emphasizing the importance of communication between robots and humans. The interaction can be categorized into two main types: remote interaction, where the human and robot are not co-located, and proximate interaction, where they are. Within these categories, the authors distinguish between applications requiring mobility, physical manipulation, or social interaction. The article traces the historical development of HRI, highlighting key events and milestones, such as the creation of early robots and the emergence of behavior-based robotics. It also discusses the multidisciplinary nature of HRI, involving robotics, cognitive science, human factors, natural language, psychology, and human-computer interaction. The authors then delve into the emergence of HRI as a distinct field, noting the importance of events like workshops, conferences, and competitions that brought together researchers from various disciplines. The core of the article focuses on defining HRI problems, which involve understanding and shaping interactions between humans and robots. The authors break down these interactions into five key attributes: level and behavior of autonomy, nature of information exchange, structure of the team, adaptation, learning, and training of people and the robot, and the shape of the task. Each attribute is discussed in detail, including the challenges and solutions in each area. Finally, the article explores the role of training in HRI, both for humans and robots. It emphasizes the importance of minimizing operator training in educational and entertainment robots while ensuring careful training in high-risk applications like military and space exploration. The authors also highlight the need for training researchers and designers in the procedures and practices of those they seek to help, as well as the importance of training robots to improve their capabilities over time. Overall, the article provides a comprehensive and insightful survey of HRI, offering a foundation for both newcomers and experienced researchers in the field.The article "Human-Robot Interaction: A Survey" by Michael A. Goodrich and Alan C. Schultz provides an extensive overview of the field of Human-Robot Interaction (HRI). The authors aim to present a unified treatment of HRI-related problems, identify key themes, and discuss challenge problems that are likely to shape the field in the near future. They begin by defining HRI as the study of understanding, designing, and evaluating robotic systems for use by or with humans, emphasizing the importance of communication between robots and humans. The interaction can be categorized into two main types: remote interaction, where the human and robot are not co-located, and proximate interaction, where they are. Within these categories, the authors distinguish between applications requiring mobility, physical manipulation, or social interaction. The article traces the historical development of HRI, highlighting key events and milestones, such as the creation of early robots and the emergence of behavior-based robotics. It also discusses the multidisciplinary nature of HRI, involving robotics, cognitive science, human factors, natural language, psychology, and human-computer interaction. The authors then delve into the emergence of HRI as a distinct field, noting the importance of events like workshops, conferences, and competitions that brought together researchers from various disciplines. The core of the article focuses on defining HRI problems, which involve understanding and shaping interactions between humans and robots. The authors break down these interactions into five key attributes: level and behavior of autonomy, nature of information exchange, structure of the team, adaptation, learning, and training of people and the robot, and the shape of the task. Each attribute is discussed in detail, including the challenges and solutions in each area. Finally, the article explores the role of training in HRI, both for humans and robots. It emphasizes the importance of minimizing operator training in educational and entertainment robots while ensuring careful training in high-risk applications like military and space exploration. The authors also highlight the need for training researchers and designers in the procedures and practices of those they seek to help, as well as the importance of training robots to improve their capabilities over time. Overall, the article provides a comprehensive and insightful survey of HRI, offering a foundation for both newcomers and experienced researchers in the field.