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

Collaborative robots

The use of collaborative robots is becoming increasingly important in the field of automation. Traditional industrial robots are typically rigid, strong, and have limited sensory capabilities, which means that they are kept separate from human workers. In contrast, collaborative robots, have been designed with safety features and mechatronics that allow them to work alongside humans.

The introduction of collaborative robots in industrial manufacturing and other work environments has the potential to transform the way we think about collaborative teamwork. In positive scenarios, collaborative robots can increase both productivity and job satisfaction for human workers. However, in negative situations, collaboration with robots may lead to humans serving robots instead of the other way around, thus reversing traditional roles.

Some collaborative robots are even equipped with the ability to produce or interpret social signals. For instance, the Baxter robot is capable of displaying various facial expressions on its screen to signal different internal states. This can include an embarrassed blush, which lets human co-workers know that the robot is unsure about what to do next.


See a video of Baxter robot in action:


Bartneck, C. et al. (2020) Human-Robot Interaction: An Introduction. Cambridge: Cambridge University Press. Available at: