Human-centricity, a core value of Industry 5.0, places humans in the center of production. It
leads to the prioritization of human needs, spanning from health and safety to self …

Recently human–robot collaboration (HRC) has emerged as a promising paradigm for mass
personalization in manufacturing owing to the potential to fully exploit the strength of human …

As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …

Continuous-time neural networks are a class of machine learning systems that can tackle
representation learning on spatiotemporal decision-making tasks. These models are …

Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …

The last decade has seen a flowering of applications driven by brain–machine interfaces
(BMIs), particularly brain-actuated robotic devices designed to restore the independence of …

Human–robot interaction (HRI) has escalated in notability in recent years, and multimodal
communication and control strategies are necessitated to guarantee a secure, efficient, and …

Seamless communication of desired motions and goals is essential for enabling effective
physical human-robot collaboration. In such cases, muscle activity measured via surface …

Simulating the behavior of operators through a digital human model (DHM) is an intuitive
way to reflect the human factors in the assembly process, which is important for ergonomics …

As the capacity for machines to extend human capabilities continues to grow, the
communication channels used must also expand. Allowing machines to interpret nonverbal …