Can the brain support body augmentation?

In recent years, there has been increased interest in emerging augmentative technologies that enhance the physical abilities of the human body, such as extra robotic fingers. We maintain that successful integration and adoption of such technologies critically depends on the human brain’s ability to effectively adapt and control new augmentative devices. These innovative devices introduce new theoretical and practical challenges for body representation and brain plasticity. For example, what resources can the brain employ to control a body part that has never been there before? We collaborate with Dani Clode, designer of the Third Thumb, to characterise the neural infrastructure necessary for successful motor augmentation using neuroimaging and behaviour. Our methods include neuroimaging and behavioural studies to examine how these technologies can be seamlessly integrated into the user's daily life, thereby enhancing functionality and independence across various clinical and non-clinical populations. 

Example papers: Amoruso et al., 2022, Journal of Neural Engineering; Kieliba et al., 2021, Science Robotics

Building Motor Augmentation Technologies 

We are engaged in developing advanced motor augmentation technologies aimed at enhancing human physical capabilities. In collaboration with Dani Clode, designer of the Third Thumb, we explore innovative control strategies using alternative motor resources and body parts, alongside experimenting with diverse sensory feedback mechanisms to refine motor learning and control. We also enhance the intelligence of the device through artificial intelligence, enabling it to anticipate and adapt to user needs dynamically, creating a symbiotic relationship between the user and the technology. We also develop EMG-based biofeedback devices that assist users in adjusting muscle engagement. These technologies are particularly aimed at enhancing the learning curve for new motor skills, such as yoga poses.

Example papers: Clode et al. 2024, Science Robotics