Research and development of new application of assistive robotic devices in home environment to assist elderly people or disabled people. In this line, we will explore the use of this robot assistant in other environments as well.

These systems consist of a combination of different technologies such as robotics, extended, virtual and augmented reality, artificial intelligence, and sensors to measure the physiological response of the user. Multimodal interfaces allow to assist the user providing more information or guidance but can also help patients during therapy.

Design and manufacture of robotic exoskeletons for industrial, rehabilitation or assistance tasks.

Design of technological systems for medicine to ease the optimization of processes, protection of health professionals and support in medical tests. As an example, the team has developed a robotic sample extraction system for subsequent analysis and diagnosis in the laboratory (PCR).

Research and development of brain machine interfaces to control of rehabilitation and assistive robotic devices. Using EEG, we develop algorithms to extract relevant information of brain signals in the sensorimotor cortex while patients attempt or imagine movement with the affected limb. The output of those algorithms is translated into control signals for a robotic device, restoring daily living functions while allowing the damaged connections to recover.