Close Proximity

Close proximity research focuses on understanding and managing interactions between entities in close spatial arrangements, encompassing diverse fields like human-robot interaction, audio signal processing, and language modeling. Current research emphasizes developing robust algorithms and models, such as diffusion-based priors for human mesh estimation and large-scale cross-lingual models for audio analysis, to address challenges posed by limited data, occlusions, and complex aerodynamic interactions. These advancements are crucial for improving the accuracy and reliability of applications ranging from human-robot collaboration and autonomous navigation to music recommendation systems and the study of under-resourced languages.