UTS set to continue advancing brain-computer interfaces
UTS's partnership with Defense is set to drive the evolution of the brain-computer interface, contributing to its broader application and efficacy.
Professor Francesca Iacopi is an expert in nano-electronics and materials. Photo: Andy Roberts
Brain-computer interface focuses on augmenting its speed, precision, and dependability.
UTS has secured a Defense contract to maintain the advancement of the sophisticated brain-computer interface (BCI) originated by Distinguished Professor Chin-Teng Lin and Professor Francesca Iacopi.
Under this agreement, the team will refine the BCI over an extended 30-month span, focusing on augmenting its speed, precision, and dependability. The goal is to elevate the system from its current technology readiness level 4 to a fully operational prototype, achieving TRL6.
Professor Iacopi will take the lead in enhancing the electrical and mechanical capabilities of the graphene sensors. Additionally, she plans to demonstrate the scalability of the procedure. Micro-pattern designs will be devised to optimize sensor performance in regions with hair.
We're enthused about the opportunity to advance the BCI. The durability, minimal skin contact resistance, and resistance to corrosion offered by our graphene sensors make them a perfect fit, especially in the rigorous conditions demanded by Defense applications," commented Professor Iacopi. She further elaborated, "These sensors boast a sleek profile, ensuring comfortable wear. Users can move freely in challenging operational settings, transcending the confines of laboratories.
Professor Lacopi
An innovative aspect will involve integrating AI-driven adaptive human autonomy collaboration. The objective is to enhance mutual comprehension and confidence between users and autonomous robots, thereby fostering effective teamwork.
Read more on the advancement of the biosensor technology work.
