Real-Time Human-Adaptive Task Allocation for Multi-Human Multi-Robot Supervision
The Human-factor-Aware Multi-robot Allocation (HAMA) method dynamically adjusts supervisory capacity and task distribution for multiple human operators based on their real-time cognitive states. It uses workload indicators and behavioral signals to prevent operator overload, resulting in improved task performance while maintaining lower perceived mental fatigue compared to fixed capacity methods.