Guidance Signal

Guidance signals, encompassing instructions or feedback influencing actions or decisions, are a central focus in diverse fields, aiming to improve performance, efficiency, or safety. Current research emphasizes developing effective guidance methods across various modalities, including visual, haptic, and multimodal approaches, often employing machine learning models like neural networks (e.g., LSTMs, random forests) to process and generate these signals. These advancements are impacting diverse applications, from improving human-automation interaction and medical image analysis to optimizing navigation in robotics and autonomous vehicles, ultimately enhancing human performance and system reliability.