Neurotechnology involves the development of techniques to understand, repair, replace, enhance, or otherwise exploit the properties of neural systems and create novel neural interfaces. We apply AI and machine learning along with engineering principles to develop novel methods and technologies for neural interfacing and brain-machine interfaces, brain stimulation and neuromodulation, brain imaging, optical technology for imaging brain circuits, ultrasonic brain imaging and manipulation, neuroelectronics, and neurochemical sensors.
Our expertise in neurotechnology is matched and complemented by our robotics research, which covers basic and applied robotics, including mechatronics systems design and control, autonomous systems and artificial intelligence, microrobotics, medical and rehabilitation robotics, computer vision, human augmentation, and human and social robotics.
Our researchers are uniquely qualified to solve design problems at the interface of living neural tissue and non-living constructs, investigate and develop human and robotic systems, and address brain-related health challenges such as stroke, hearing disorder, traumatic brain injury and dementia.
Academic staff in this area
Anthony Bull
Anthony Bull
Prosthetics and Orthotics
Etienne Burdet
Hayriye Cagnan
James Choi
Claudia Clopath
Manos Drakakis
Aldo Faisal
Dario Farina
Dario Farina
Man-machine interfaces, biological signal processing, neural control of movement,neurorehabilitation
Amanda Foust
Rylie Green
Parry Hashemi
Amy Howard
Kaushik Jayaram
Kaushik Jayaram
Insect-inspired intelligence enabling next-generation, highly capable insect-scale robots
Angela Kedgley
Andriy Kozlov
Holger Krapp
David Labonte
Huai-Ti Lin
Sophie Morse
Chris Richards
Chris Richards
Novel systems for enabling closed-loop interaction of in vitro muscle and bio-robotic limb models
Aidan Roche
Chris Rowlands
Chris Rowlands
Creating new optical technologies to interface with the brain directly
Simon Schultz
Majid Taghavi
Majid Taghavi
Wearables and implantable soft robotics