Human-Robot Interaction at the Workplace
(Mensch-Roboter Interaktion im Arbeitsleben bewegungseingeschränkter Personen)
Human-robot workplaces where people and robots work together cooperatively are part of the industry of tomorrow. This industry integrates new services, in the so called, "Workplace as a Service" wherein each service can be taken care individually. In a workplace setting people have their hands already occupied in different tasks; leaving room for exploring new communication and interaction technologies, which may include a robotic system. Moreover, people with disabilities may benefit from these type of technologies, since they will increase their integration into the work market.
Goals and Approach
In the MIA research project, innovative sensor technologies and interaction designs are being developed in order to make the complex robot control manageable for people who are able to move their heads and eyes. We intend to use different technologies such as: inertial measurement units (IMU), eye tracking or electrooculography (EOG), as well as provide feedback through augmented reality. In this context, our research is oriented towards testing and evaluating new concepts about robot control and interaction possibilities for humans.
Innovations and Perspectives
The research results will enable the design of a new collaborative human-robot workplace. Since this research is supported by empirical studies, a library and a manufacturing company have been established as the chosen scenarios for testing our hypotheses.
A Robust Interface for Head Motion based Control of a Robot Arm using MARG and Visual Sensors InproceedingsMIA
2018 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Rome, Italy, 2018.
Opportunities and Challenges in Mixed-Reality for an Inclusive Human-Robot Collaboration Environment InproceedingsMIA
Proceedings of the 2018 International Workshop on Virtual, Augmented, and Mixed Reality for Human-Robot Interactions (VAM-HRI) as part of the ACM/IEEE Conference on Human-Robot Interaction, S. 83–86, Chicago, USA, 2018.