In the last decade, the objectives outlined by the needs of personal robotics have led to the
rise of new biologically-inspired techniques for arm motion planning. This paper presents a …

In this paper, an improved recurrent neural network (RNN) scheme is proposed to perform
the trajectory control of redundant robot manipulators using remote center of motion (RCM) …

Recently, the human-like behavior on the anthropomorphic robot manipulator is increasingly
accomplished by the kinematic model establishing the relationship of an anthropomorphic …

An improved human-robot collaborative control scheme is proposed in a teleoperated
minimally invasive surgery scenario, based on a hierarchical operational space formulation …

In recent years, numerous studies have been conducted to analyze how humans
subconsciously optimize various performance criteria while performing a particular task …

In this work, we present a novel control approach to human-robot collaboration that takes
into account ergonomic aspects of the human co-worker during power tool operations. The …

As a significant role in healthcare and sports applications, human activity recognition (HAR)
techniques are capable of monitoring humans' daily behavior. It has spurred the demand for …

Hand gesture recognition has been applied to many research fields and has shown its
prominent advantages in increasing the practicality of Human-Robot Interaction (HRI). The …

Human-like behavior has emerged in the robotics area for improving the quality of Human-
Robot Interaction (HRI). For the human-like behavior imitation, the kinematic map** …

This paper proposes a real-time human inverse kinematics approach based on the
Gaussian Process (GP) to address the open problem of finding appropriate inverse …