Controlling robots with our minds has been science fiction for a very long time but recent advancements in mechatronics and electroencephalography have allowed for non-invasive control of machines. Our neurorobotics team is committed to researching the most effective methods of improving control of one's brain activity and applying this data to operate mechanical systems. The team takes a unique approach in researching the improvement and fluidity of brain-computer communication so that the application to robotics can be more efficient. The team consists of students from the faculties of engineering and computing.
Cognitive Engineering Research Team
Cognitive engineering is the application of cognitive psychology to the design and operation of human-machine systems. In other words, it's the study of how we can build systems to better fit the needs of users. Our research team works to synthesize existing data with the products of our neurorobotics team to draw new conclusions in the study of neural systems. Each member of the team works as authors of their own research projects and together, we can better understand how to design intelligent and efficient brain-computer interfaces. As a student research team, we have a unique perspective on these topics and this enriches the work that we do. We feel that studying these issues will provide insight into the mechanisms behind the problems that brain-machine interfaces face and give us the ability to optimize technologies to combat these issues. The team consists of students from the faculties of science and engineering.
EEG or EMG brain computer interface is constructed
Neurorobotics team integrates BCI into machine control
Machines are sent to research team to be studied
Cognitive engineering team utilizes BCI to conduct research
Studies are formalized and research findings are published