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Robots in the city: Discovering implicit social expectations for urban robots
Robots are increasingly being deployed in urban spaces, for example, to deliver food, to clean or vacuum, or to help maintain safety. Robots can help to perform tasks and gather information about the changing environment and habitat of the city to benefit its citizens. In return, cities, in all its grit and glory, provide a complex and rich context for understanding the challenges autonomous technologies face when deployed in the real world. However, robots can only be safely and appropriately deployed in urban environments with an understanding of the social norms which govern public interaction in such spaces.
This talk discusses current developments in the field of urban robot interaction, with a focus on field experiments with autonomous vehicles and robots. People implicitly expect robots to know about and conform to social interaction scripts that roboticists often fail to anticipate. Field experiment methods for human robot interaction in urban environments help to address blind spots, contingent interaction and contextual variation.
Speakers:
Wendy Ju
Associate Professor of Information Science, Cornell University
Moderators:
Guillem Martínez Roura
AI and Robotics Programme Officer, International Telecommunication Union (ITU)
AI for Good is identifying innovative AI applications, building skills and standards, and advancing partnerships to solve global challenges.
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Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
