Course Content
Orientation, introduction to the course
1. Human-Robot Interaction (HRI)
2. Research Methods in Human-Robot Interaction
3. Smart Cities & HRI
The demand for city living is already high, and it appears that this trend will continue. According to the United Nations World Cities Report, by 2050, more than 70% of the world's population will be living and working in cities — one of many reports predicting that cities will play an important role in our future (UN-Habitat, 2022). Thus, as cities are growing in size and scope, it is shaped into complex urban landscape where things, data, and people interact with each other. Everything and everyone has become so connected that Wifi too often fails to meet digital needs, online orders don't arrive fast enough, traffic jams still clog the roads and environmental pollution still weighs on cities. New technologies, technical intelligence, and robots can contribute to the direction of finding solutions to ever-increasing problems and assist the evolution of the growing urban space.
Human-Robot Interaction
About Lesson

Future Research

The paper “Robot-City Interaction: Mapping the Research Landscape – A Survey of the Interactions Between Robots and Modern Cities” provides a comprehensive overview of the research landscape in the field of robot-city interaction. The authors conducted a systematic review of the literature on this topic, analyzing 187 papers published between 2006 and 2020. The paper begins by discussing the importance of robot-city interaction, highlighting the potential benefits of using robots in urban environments, such as improving public safety, enhancing transportation systems, and promoting environmental sustainability. The authors then present a taxonomy of robot-city interaction, which includes five categories: mobility, manipulation, communication, social interaction, and environmental monitoring.

Next, the paper provides a detailed analysis of the research landscape in each of these categories, identifying the main research themes, methodologies, and challenges. For example, in the mobility category, the authors discuss research on autonomous vehicles, delivery robots, and drones, as well as issues related to navigation, safety, and regulation. In the manipulation category, the authors analyze research on robots that can perform physical tasks, such as cleaning, maintenance, and construction. The paper also highlights the role of smart city infrastructure in enabling robot-city interaction, such as sensor networks, communication technologies, and cloud computing. The authors discuss how these technologies can be used to support robot navigation, data processing, and decision-making.

Finally, the paper identifies several challenges and opportunities for future research in the field of robot-city interaction. These include issues related to:

  • Safety: As robots become more prevalent in urban environments, it is critical to ensure that they are safe for both humans and other robots. Future research may focus on developing new safety standards and protocols for robot-city interaction, as well as designing robots that are more robust and resilient to unexpected events.
  • Ethics: As robots become more integrated into urban life, there will be increasing ethical questions around their use. Future research may focus on developing ethical frameworks for robot-city interaction, as well as exploring the impact of robots on society and the environment.
  • Sustainability: Robots have the potential to play a significant role in promoting environmental sustainability in smart cities. Future research may focus on developing robots that can help reduce energy consumption, minimize waste, and promote sustainable transportation.
  • Human-robot interaction: As robots become more advanced, it will be important to ensure that they are easy to use and interact with for humans. Future research may focus on developing new interfaces and communication methods between humans and robots, as well as exploring how robots can be integrated into social and cultural contexts.
  • Interdisciplinary collaboration: The field of robots and smart cities requires collaboration between numerous disciplines, including robotics, urban planning, computer science, and policy. Future research may focus on developing new models for interdisciplinary collaboration, as well as exploring how different disciplines can work together to tackle complex urban challenges.

The authors also highlight the potential for using robots to address pressing societal challenges, such as climate change, urbanization, and aging populations.

“Robot-City Interaction: Mapping the Research Landscape” (2020) provides a comprehensive overview of the current state of research on the interactions between robots and modern cities. The paper highlights the potential benefits of using robots in urban environments, as well as the challenges and opportunities that lie ahead. This research can inform policymakers, urban planners, and robotics researchers as they work to shape the future of cities and robotics technology.