In the era of industrialization and automation, safety is a critical factor that should be
considered during the design and realization of each new system that targets operation in …

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

Many previous works of soft wearable exoskeletons (exosuit) target at improving the human
locomotion assistance, without considering the impedance adaption to interact with the …

This study provides a structured literature review of the recent COllaborative roBOT
(COBOT) applications in industrial and service contexts. Several papers and research …

Biological systems, including human beings, have the innate ability to perform complex
tasks in a versatile and agile manner. Researchers in sensorimotor control have aimed to …

For parameter identifications of robot systems, most existing works have focused on the
estimation veracity, but few works of literature are concerned with the convergence speed. In …

This paper proposes an enhanced robot skill learning system considering both motion
generation and trajectory tracking. During robot learning demonstrations, dynamic …

Although the concept of industrial cobots dates back to 1999, most present day hybrid
human–machine assembly systems are merely weight compensators. Here, we present …

In this paper, adaptive impedance control is developed for an-link robotic manipulator with
input saturation by employing neural networks. Both uncertainties and input saturation are …

This paper investigates adaptive neural control methods for robotic manipulators, subject to
uncertain plant dynamics and constraints on the joint position. The barrier Lyapunov function …