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

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 …

Extracting muscle synergies from surface electromyographic signals (sEMGs) during
exercises has been widely applied to evaluate motor control strategies. This study explores …

Introduction Impaired proprioception has been reported as a feature in a number of
musculoskeletal disorders of various body parts, from the cervical spine to the ankle …

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

This article proposes a novel control strategy based on a broad fuzzy neural network (BFNN)
which is subjected to contact with the unknown environment. Compared with the …

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 …

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 …

Optimal feedback control (OFC) provides a powerful tool to interpret voluntary motor control,
highlighting the importance of sensory feedback in the control and planning of movement …

Walking on uneven terrain is more energetically costly than walking on smooth ground, but
the biomechanical factors that contribute to this increase are unknown. To identify possible …