This use case combines AI-supported autonomous mobile robots and AI-supported human-assistance exoskeletons to improve factory logistics, safety, ergonomics, and inclusiveness. The AMR part focuses on task and traffic management, sensor fusion, perception, obstacle detection, classification, and human-like communication through visual or sound signals. The exoskeleton part uses EEG brain-signal detection and classification to support workers with disabilities in manufacturing tasks. The overall goal is to create safer, more acceptable, and more energy-efficient intra-logistics while empowering human workers and improving participation of disabled people in factory environments.