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 …

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 …

In this survey, we present the current status on robots performing manipulation tasks that
require varying contact with the environment, such that the robot must either implicitly or …

Learning from demonstration (LfD) has been used to help robots to implement manipulation
tasks autonomously, in particular, to learn manipulation behaviors from observing the motion …

Learning contact-rich manipulation skills is essential. Such skills require the robots to
interact with the environment with feasible manipulation trajectories and suitable compliance …

There have been significant interests and efforts in the field of impedance control on robotic
manipulation over last decades. Impedance control aims to achieve the desired mechanical …

Many manipulation tasks require robots to interact with unknown environments. In such
applications, the ability to adapt the impedance according to different task phases and …

In this paper we propose an exoskeleton control method for adaptive learning of assistive
joint torque profiles in periodic tasks. We use human muscle activity as feedback to adapt …

Due to the lack of transparent and friendly human-robot interaction (HRI) interface, as well
as various uncertainties, it is usually a challenge to remotely manipulate a robot to …

Using human tools can significantly benefit robots in many application domains. Such ability
would allow robots to solve problems that they were unable to without tools. However, robot …