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

Currently, a large number of industrial robots have been deployed to replace or assist
humans to perform various repetitive and dangerous manufacturing tasks. However, based …

Electromyography (EMG) signal is one of the widely used biological signals for human motor
intention prediction, which is an essential element in human-robot collaboration systems …

Human–robot co-transportation allows for a human and a robot to perform an object
transportation task cooperatively on a shared environment. This range of applications raises …

Sharing the control of a robotic system with an autonomous controller allows a human to
reduce his/her cognitive and physical workload during the execution of a task. In recent …

As robotic devices are applied to problems beyond traditional manufacturing and industrial
settings, we find that interaction between robots and humans, especially physical interaction …

In this article, we propose a hybrid framework using visual and force sensing for human-
robot co-carrying tasks. Visual sensing is utilized to obtain human motion and an observer is …

Creating autonomous robots that can actively explore the environment, acquire knowledge
and learn skills continuously is the ultimate achievement envisioned in cognitive and …

Over the last two decades, the foundations for physical human–robot interaction (pHRI) have
evolved from successful developments in mechatronics, control, and planning, leading …

We present a large-scale whole-body human motion database consisting of captured raw
motion data as well as the corresponding post-processed motions. This database serves as …