In this paper, we discuss a framework for teaching bimanual manipulation tasks by imitation.
To this end, we present a system and algorithms for learning compliant and contact-rich …

In this letter, a multi-modal learning and control framework is proposed for the control of a
supernumerary robotic limb (SRL). The SRL is a wearable robotic arm designed to enhance …

Proactive assistance in human–robot collaboration remains a challenging objective, as the
spatial–temporal coordination of the human–robot motion must be considered in conjunction …

As robotic systems transition from traditional setups to collaborative work spaces, the
prevalence of physical Human Robot Interaction has risen in both industrial and domestic …

This article presents an imitation learning strategy for extracting ergonomically safe control
policies in physical human–robot interaction scenarios. The presented approach seeks to …

This letter presents a novel concept to support physically impaired humans in daily object
manipulation tasks with a robot. Given a user's manipulation sequence, we propose a …

Learning representations that generalize across tasks and domains is challenging yet
necessary for autonomous systems. Although task-driven approaches are appealing, de …

This paper presents a learning-from-demonstration (LfD) framework for teaching human-
robot social interactions that involve whole-body haptic interaction, ie direct human-robot …

We can use driving data collected over a long period of time to extract rich information about
how vehicles behave in different areas of the roads. In this paper, we introduce the concept …