Human Robot Interaction

The course on Human-Robot Interaction aims to equip students with the knowledge necessary to design robots that can function safely, comfortably, and effectively in environments inhabited by humans. The course offers both theoretical and empirical insights into the physical and cognitive aspects of human-robot interaction. Students will learn to reflect on the fundamental principles of this interaction, critically examine existing theories and models, and assess various design options by reflecting on and experiencing experimental research. The course will cover key principles of human information-processing, human error, the interaction between humans and automation, human-machine interfaces, and operator state assessment (which includes factors such as visual attention, workload, and situation awareness).

The lectures will analyse the performance of human operators in roles ranging from manual control (direct control) and supervisory control of automated systems to shared control of human-robot systems. Additionally, students will learn essential elements of experimental design for human-subject studies.

The course finds its main applications in areas such as intelligent vehicles and industrial robotics.

Additionally, guest lecturers from the department will address specialized topics such as cognitive modeling for automated vehicles, haptic interfaces, and robotic neurorehabilitation.