Perception Aware

Perception-aware systems aim to build artificial intelligence that understands and interacts with the world in ways similar to humans, focusing on robust and accurate perception across various modalities (vision, language, etc.). Current research emphasizes improving the accuracy and efficiency of perception models, particularly through advancements in vision-language models (VLMs) and the development of novel algorithms for dynamic resolution processing, multimodal data fusion, and uncertainty quantification. This field is crucial for advancing robotics, autonomous driving, and human-computer interaction, with applications ranging from improved object recognition and scene understanding to more natural and intuitive interfaces.