Lessons learned from robotic vacuum cleaners entering the home ecosystem

التفاصيل البيبلوغرافية
العنوان: Lessons learned from robotic vacuum cleaners entering the home ecosystem
المؤلفون: Valérie Bauwens, Philippe Rétornaz, Florian Vaussard, D. Hamel, Julia Fink, Francesco Mondada, Pierre Dillenbourg
المصدر: Robotics and Autonomous Systems. 62:376-391
بيانات النشر: Elsevier BV, 2014.
سنة النشر: 2014
مصطلحات موضوعية: Service (systems architecture), Future of robotics, Computer science, business.industry, General Mathematics, Navigation system, Sample (statistics), Robotic paradigms, Human–robot interaction, Computer Science Applications, Task (project management), Engineering management, Control and Systems Engineering, Robot, Artificial intelligence, business, Software
الوصف: This article considers the suitability of current robots designed to assist humans in accomplishing their daily domestic tasks. With several million units sold worldwide, robotic vacuum cleaners are currently the figurehead in this field. As such, we will use them to investigate the following key question: How does a service cleaning robot perform in a real household? One must consider not just how well a robot accomplishes its task, but also how well it integrates inside the user's space and perception. We took a holistic approach to addressing these topics by combining two studies in order to build a common ground. In the first of these studies, we analyzed a sample of seven robots to identify the influence of key technologies, such as the navigation system, on technical performance. In the second study, we conducted an ethnographic study within nine households to identify users' needs. This innovative approach enables us to recommend a number of concrete improvements aimed at fulfilling users' needs by leveraging current technologies to reach new possibilities.
تدمد: 0921-8890
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::f902e0fe698ba94977b24be89a333323
https://doi.org/10.1016/j.robot.2013.09.014
حقوق: OPEN
رقم الأكسشن: edsair.doi...........f902e0fe698ba94977b24be89a333323
قاعدة البيانات: OpenAIRE