Human motion generation aims to generate natural human pose sequences and shows
immense potential for real-world applications. Substantial progress has been made recently …

In recent years, numerous studies have been conducted to analyze how humans
subconsciously optimize various performance criteria while performing a particular task …

Abstract 3D-ARM-Gaze is a public dataset designed to provide natural arm movements
together with visual and gaze information when reaching objects in a wide reachable space …

As robots are starting to become part of our daily lives, they must be able to cooperate in a
natural and efficient manner with humans to be socially accepted. Human-like morphology …

Sensor fusion is a technique that combines information from multiple sensors in order to
improve the accuracy and reliability of the data being collected. In the context of …

The motor neuroscience literature suggests that the central nervous system may encode
some motor commands in terms of velocity. In this work, we tackle the question: what …

As a mimic of the human arm structure, anthropomorphic manipulators with radial elbow
offset (AMREO) are often deployed on humanoid service robots. However, the unique offset …

How to generate anthropomorphic reaching movement remains a challenging problem in
service robots and human motor function repair/reconstruction equipment. However, there is …

Assistive devices like exoskeletons undergo extensive testing not least because of their
close interaction with humans. Conducting user studies is a time-consuming process that …

With the advancement of AI‐generated human motion, it is of increasing importance to think
about how we distinguish real human motion from machine‐generated movements. In this …