Industrial robots and associated control methods are continuously developing. With the
recent progress in the field of artificial intelligence, new perspectives in industrial robot …

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 …

Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI) has been
gaining considerable attention in HRI research in recent years. However, the HRI community …

The rise of automation has provided an opportunity to achieve higher efficiency in
manufacturing processes, yet it often compromises the flexibility required to promptly …

Billions of people use chopsticks, a simple yet versatile tool, for fine manipulation of
everyday objects. The small, curved, and slippery tips of chopsticks pose a challenge for …

Humans demonstrate a variety of interesting behavioral characteristics when performing
tasks, such as selecting between seemingly equivalent optimal actions, performing recovery …

Imitation learning is a discipline of machine learning primarily concerned with replicating
observed behavior of agents known to perform well on a given task, collected in …

This paper presents an autonomous grasping approach for complex-shaped objects using
an anthropomorphic robotic hand. Although human-like robotic hands have a number of …

This work devises an optimized machine learning approach for human arm pose estimation
from a single smart-watch. Our approach results in a distribution of possible wrist and elbow …

Humans are capable of learning a new behavior by observing others perform the skill.
Robots can also implement this by imitation learning. Furthermore, if with external guidance …