Robotic equipment has been playing a central role since the proposal of smart
manufacturing. Since the beginning of the first integration of industrial robots into production …

With the development of artificial intelligence technology, intelligent machines are
increasingly equipped with human-like abilities such as autonomous decision-making …

Human-machine interfaces (HMIs) experience increasing requirements for intuitive and
effective manipulation. Current commercialized solutions of glove-based HMI are limited by …

Mathematical modelling is an indispensable tool to support water resource recovery facility
(WRRF) operators and engineers with the ambition of creating a truly circular economy and …

As 5G communication technology allows for speedier access to extended information and
knowledge, a more sophisticated human–machine interface beyond touchscreens and …

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …

Traditional deep learning-based visual imitation learning techniques require a large amount
of demonstration data for model training, and the pre-trained models are difficult to adapt to …

Semantic grasping aims to make stable robotic grasps suitable for specific object
manipulation tasks. While existing semantic grasping models focus only on the grasping …

Humans perform object manipulation in order to execute a specific task. Seldom is such
action started with no goal in mind. In contrast, traditional robotic grasping (first stage for …

Understanding human intentions during interactions has been a long-lasting theme, that has
applications in human-robot interaction, virtual reality and surveillance. In this study, we …