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 …

The integration of advanced sensor technologies has significantly propelled the dynamic
development of robotics, thus inaugurating a new era in automation and artificial …

The ability to predict human intent in manipulating in-hand objects is a crucial aspect of
developing intelligent robotic systems that can effectively interact with and assist humans in …

An exosystem needs to be nonlinear when it generates the perturbations to be
reconstructed; however, an exosystem does not need to be nonlinear when it generates the …

This article proposes a vision-based ultrasound scanning localization method that solves the
issue of human pose constraints. Specifically, by proposing an improved AlphaPose …

In the process of human-robot interaction (HRI), the control effect cannot meet the needs of
HRI tasks if a control strategy is developed solely from the robot's point of view. It's …

Teleoperation under human guidance has become an effective solution to extend human's
reach in various environments. However, the teleoperation system still faces challenges of …

Physical human-robot interaction (pHRI) plays an important role in robotic. In order for a
human operator to be able to easily adapt to interact with a robot, a minimal interaction force …

This paper provides a structured and practical roadmap for practitioners to integrate learning
from demonstration (LfD) into manufacturing tasks, with a specific focus on industrial …

This paper presents XBG (eXteroceptive Behaviour Generation), a multimodal end-to-end
Imitation Learning (IL) system for a whole-body autonomous humanoid robot used in real …