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About

Caroline Pantofaru is a robotics and computer vision researcher whose work spans human-robot interaction, assistive robotics, and multimodal perception. She has made significant contributions to understanding how robots can operate safely and socially within human environments, with her 2009 paper on proxemic behaviors in human-robot interaction—exploring how robots should respect personal space—accumulating 439 citations and becoming a foundational reference in social robotics. Pantofaru's research with the PR2 robot platform advanced the development of autonomous personal robots capable of real-world tasks like serving drinks, earning 246 citations and helping establish practical benchmarks for household robotics. Her deeply impactful work on assistive robotics demonstrated how mobile manipulators could empower people with disabilities to reclaim independence in daily life. She has also contributed meaningfully to person detection using RGB-D cameras, enabling robots to better perceive and navigate human environments. In later work, Pantofaru expanded into machine learning and audio-visual datasets, contributing to temporal 3D object detection in LiDAR point clouds and co-creating the AVA-ActiveSpeaker dataset, which has supported advances in speaker diarization and video analysis. Across her career, she has consistently bridged rigorous technical innovation with genuine human benefit, making her a notable figure at the intersection of robotics, perception, and accessibility.