This activity encompasses two main research areas:
(I) The first area is centred on an investigation into the neuromotor control policy utilized by unimpaired individuals during the process of locomotion. This exploration lays the foundational groundwork for subsequent, in-depth analyses of the ramifications that arise when modelling various pathological conditions impacting the musculoskeletal system. The overarching aim of this endeavour is to develop predictive simulation tools, tailored to aid clinicians in enhancing the efficacy of rehabilitation assessments and interventions. Through this, we strive to optimize patient outcomes in rehabilitative medicine. Additionally, these predictive simulation tools hold a great potential for aiding designers of lower-limb exoskeletons, who can more accurately and effectively design and define reference control trajectories for their assistive devices, ensuring that these devices are optimally tailored to meet the needs of the end-users and enhance their mobility and quality of life.
(II) The second research area is dedicated to delving into the dynamics of how touch and musculoskeletal proprioception synergistically contribute to the control of hand movements. This area of investigation holds potential as an assessment tool, providing insights into the extent of any potential reduction in tactile sensitivity that may be associated with specific pathological conditions. A series of ad hoc experimental strategies will be crafted and implemented. Among these, a strategy involves the utilization of a robotic interface to manipulate the surface being touched, so as to elicit specific modifications in the reaching trajectories of the hand. By analysing these modifications, we aim to glean deeper insights into the complex interplay between tactile feedback, proprioceptive input, and motor control.