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 …

Manipulability ellipsoid on the Riemannian manifold serves as an effective criterion to
analyze, measure, and control the dexterous performance of robots. For asymmetric bilateral …

A virtual fixture (VF) is a constraint built into software that assists a human operator in
moving a remote tool along a preferred path via an augmented guidance force to improve …

Imitation learning is an important direction in the area of robot skill learning. It provides a
user-friendly and straightforward solution to transfer human demonstrations to robots. In this …

The restriction of feasible motions of a manipulator link constrained to move through an entry
port is a common problem in minimally invasive surgery procedures. Additional spatial …

Efficiently coordinating multiple robotic arms is vital for secure and optimal operation in a
shared workspace. This requires not only successful task completion but also minimizing …

This article presents a path recognition and virtual guides (VGs) design method for a task of
path following based on human–robot collaboration. First, a support vector machine …

Kinesthetic teaching allows the direct skill transfer from the human to the robot and has been
widely used to teach single arm tasks intuitively. In the bi-manual case, simultaneously …

Kinesthetic teaching allows the direct skill transfer from the human to the robot through
physical human-robot interaction. However, it is heavily affected by the robot's dynamics and …

Human–robot interaction (HRI) is one of the most rapidly growing research fields in robotics
and promising for the future of robotics technology. Despite the fact that numerous significant …