Joint project PfleKoRoCopyright: © IRT
Facilitating care through cooperative robotics
- 01.02.2020 to 31.01.2023
- Biomedical Systems
Good care means responding individually to people in need of care and their needs, compensating for existing limitations, and always promoting independence, social participation, well-being and quality of life while taking into account individual abilities, wishes and preferences, providing security, and guaranteeing dignity and respect. Time and personnel resources have a decisive influence on the quality of care, without which neither person-centered care nor safe care is possible. The implementation of good care for an aging population poses challenges for healthcare systems. A high, steadily increasing number of people in need of severe or very severe care, as well as the growing shortage of skilled nursing staff, calls for innovative approaches. The goal is to provide the best possible care to those in need of care while reducing the physical and time demands on care professionals.
Project Goals and Methods
Within the scope of this project, robots are enabled to support the care of bedridden people in need of severe care according to their needs and to integrate themselves into complex care activities without interference. The automation of individual process steps in the care of bedridden and severely dependent patients is intended to relieve nursing staff and, above all, reduce the physical strain.
The Institute of Automatic Control solves the problem of recognizing the position of the patient and the nursing staff in space, the orientation of individual body segments and the position of possible contact points. This is done by a contact-free position recognition based on depth image camera data. Based on this, a control module is developed, which includes the generation of a collision-free trajectory of the robot as well as the control of the robot and the control of the gripping device. However, this requires multisensory monitoring of the patient and the robot's environment, so that the planned trajectory can be adapted online if necessary. The functionality of the gripping system is closely related to the position detection. Therefore, the handling of the gripping system will be integrated into the position recognition and the interaction of the two components will be ensured within the scope of this subproject. Furthermore, a suitable communication interface for the interaction of the nursing staff with the PfleKoRo system will be created. Since additional work steps are not acceptable for the nursing professionals, the aim here is to control the system via speech, which enables intuitive communication of the users. Finally, the voice control and position recognition will be implemented in the PfleKoRo system and any necessary adjustments resulting from the real-life testing of the PfleKoRo system will be made.