This talk will delve into the role of simple models in analyzing human neural motor control and perception through the study of upper-limb motion and hand manipulation. Specifically, I will explore a common simplification of human hand manipulation—the presence of kinematic hand synergies—and highlight the necessity of studying functional hand manipulation beyond simple grasping. Moreover, I will present findings from both a motor control study and a motor perception study to construct a model of human motor control that emphasizes the importance of mechanical impedance. These insights have far-reaching implications, potentially improving existing robotic technologies and guiding the development of new ones. In sum, I aim to tackle the complexities of human motor control and explore the transformative potential of simple models in advancing the field of robotic rehabilitation.
