“…This type of control learns both reference trajectory and feedback gain schedules simultaneously, purely through experience and without the need for an a priori model of body and/or environmental dynamics. Model-free, trial-and-error learning may indeed be a sufficient mechanism for controlling both movement and posture, but in itself, it fails to account for evidence of internal representations of mechanical conditions that appear to allow both adaptation in—and generalization to—novel dynamic environments, such as applied force or inertial fields ( Sainburg, 2015 ). In addition, a large amount of evidence indicates that the CNS takes inertial dynamics of body segments into account when making point-to-point reaching movements ( Cooke and Virji-Babul, 1995 ; Sainburg et al, 1995 ; Ketcham et al, 2004 ), that sensory feedback is used to control evolving movement ( Flanders et al, 1986 ; Cordo, 1990 ), and that human-object interactions are planned based on information about the physical properties and mechanics of the object ( Dingwell et al, 2002 ; Cothros et al, 2006 ).…”