Adaptive Assistance

Adaptive assistance focuses on providing timely and tailored support to users, whether they are robots navigating complex environments, humans performing physical tasks, or students solving problems. Current research emphasizes developing models that dynamically adjust assistance levels based on real-time performance indicators, such as error rates, energy expenditure, or user requests, often employing reinforcement learning, model-based control, or data-driven prediction methods. This field is significant for improving efficiency and safety in robotics, enhancing human-computer interaction, and optimizing learning experiences in educational settings.