Robots are expected to have a more significant role in numerous aspects of our everyday lives, such as health care, education, entertainment, defense, and security. Societies are undergoing numerous changes due to the rapid expansion of the robotics industry. While industrial robots can save energy, time, and resources by optimizing processes, service robots can change social constructs. Industry 5.0 emphasizes the collaboration between humans and intelligent machines, highlighting the need for context-aware robotics and human-centered automation. Our research focuses on modeling human behavior in human–robot interaction (HRI), intent prediction, and spatial–temporal learning to enable safer and more efficient collaboration. Using immersive virtual reality environments and wearable tracking technologies, we collect rich spatiotemporal human motion data to train advanced recurrent, convolutional, and graph neural network models for human intention recognition and trajectory tracking in manufacturing environments.