Medical robotics is a rapidly advancing discipline that is leading the evolution of robot-
assisted surgery, personalized rehabilitation and assistance, and hospital automation. In …

Backed by a century of research and development, Hill-type muscle-tendon models are
extensively used for countless applications. Lacking recent reviews, the field of Hill-type …

The brain is not a glorified digital computer. It does not store information in registers, and it
does not mathematically transform mental representations to establish perception or …

Integrating a prosthetic hand to amputees with seamless neural compatibility presents a
grand challenge to neuroscientists and neural engineers for more than half century …

Sensory feedback for prosthesis control is typically based on encoding sensory information
in specific types of sensory stimuli that the users interpret to adjust the control of the …

The hidden pattern within the sEMG signal has wide applications in human-robot interaction.
Decoding the patterns from sEMG signal tends to use black box models, which limits the …

The advancement and development of human modeling have greatly benefited from
principles used in robotics, for instance, multibody dynamics laid the foundations for physics …

Restoring neuromuscular reflex properties in the control of a prosthetic hand may potentially
approach human-level grasp functions in the prosthetic hand. Previous studies have …

Objective: Human neuromuscular reflex control provides a biological model for a compliant
hand prosthesis. Here we present a computational approach to understanding the emerging …

Significant advances have been made to improve control and to provide sensory functions
for bionic hands. However, great challenges remain, limiting wide acceptance of bionic …