Recent technological advances in hardware design of the robotic platforms enabled the
implementation of various control modalities for improved interactions with humans and …

Quantitative measures of smoothness play an important role in the assessment of
sensorimotor impairment and motor learning. Traditionally, movement smoothness has been …

Abstract The exploits of Martina Navratilova and Roger Federer represent the pinnacle of
motor learning. However, when considering the range and complexity of the processes that …

In order to generate skilled and efficient actions, the motor system must find solutions to
several problems inherent in sensorimotor control, including nonlinearity, nonstationarity …

Augmenting the body with artificial limbs controlled concurrently to one's natural limbs has
long appeared in science fiction, but recent technological and neuroscientific advances …

Rationality principles such as optimal feedback control and Bayesian inference underpin a
probabilistic framework that has accounted for a range of empirical phenomena in biological …

Over the last two decades, the foundations for physical human–robot interaction (pHRI) have
evolved from successful developments in mechatronics, control, and planning, leading …

L'évolution a mis en place chez le vivant, face à la complexité du monde et l'augmentation
de la complexité des organismes vivants, des «principes simplificateurs». Ils ne sont pas …

This paper presents a novel human-like learning controller to interact with unknown
environments. Strictly derived from the minimization of instability, motion error, and effort, the …

Mobile robots can complete a task in cooperation with a human partner. In this letter, a
hybrid shared control method for a mobile robot with omnidirectional wheels is proposed. A …