Situational Awareness

Situational awareness (SA) research focuses on enabling systems, both robotic and AI-based, to understand and respond appropriately to their environment and context. Current research emphasizes developing models that integrate diverse data sources (e.g., camera images, sensor data, language prompts) using techniques like deep learning (including transformer networks and PointNet), rule-based systems, and multimodal fusion to enhance SA in real-time. This work is crucial for improving safety and efficiency in various applications, including autonomous vehicles, human-robot collaboration, and assistive technologies for vulnerable populations.