In the development of digital agriculture, agricultural robots play a unique role and confer
numerous advantages in farming production. From the invention of the first industrial robots …

Musculoskeletal models have been widely used for detailed biomechanical analysis to
characterise various functional impairments given their ability to estimate movement …

Interaction control presents opportunities for contact robots physically interacting with their
human user, such as assistance targeted to each human user, communication of goals to …

Abstract Recently, Convolutional Neural Networks (CNNs) have been used for the
classification of hand activities from surface Electromyography (sEMG) signals. However …

Purpose The purpose of this paper is to develop a human activity-aware adaptive shared
control solution for human–robot interaction in surgical operation. Hands-on control and …

This tutorial intends to provide insight, instructions and “best practices” for those who are
novices—including clinicians, engineers and non-engineers—in extracting electromyogram …

Electromyography (EMG) can reveal the state of muscle activity in advance, therefore, it has
been widely used in human–machine interaction (HMI) to predict human intention. Force …

This article develops a novel distributed framework based on physics-informed deep
learning for robust and efficient musculoskeletal modeling in nonstationary scenarios, which …

Intelligent manufacturing (IM), sometimes referred to as smart manufacturing (SM), is the use
of real-time data analysis, machine learning, and artificial intelligence (AI) in the production …

Dense video captioning requires localization and description of multiple events in long
videos. Prior works detect events in videos solely relying on the visual content and …