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Harvard AI and Robotics Lab
Welcome to the Harvard AI and Robotics Lab. We aim to transform human wellbeing through the power of artificial intelligence and robotics through our passionate research.

AI for video editing and 4D scene generation
Our team focuses on advancing text-to-video editing and text-to-4D generation technologies to enable more dynamic and immersive content creation. Our core projects explore how to achieve more precise text-to-video editing and stronger consistency in 3D/4D scene generation models.
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Large language model safety
Our team aims to identify and quantify potential safety issues in large language models such as inconsistency and privacy leakage, which will be mitigated by developing novel AI techniques to finetune standard large language models.
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Error bounds for AI models
AI research is both theoretical and computational. It is important to have a deep understanding of different AI models’ error bounds and associated factors. One of our recent studies is to analyze the impact of data distribution on fairness guarantees in equitable deep learning.
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AI-powered smart devices and robotics for low vision
AI-powered smart devices such as smart glasses and robotics have emerged as a promising way to assist people with low vision. We are developing multimodal AI models that are optimized for visually impaired individuals, which will be used with smart glasses and robotics.
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Equitable AI for disease screening
Our team is dedicated to developing equitable AI models for disease screening with a special focus on ocular diseases. Recently, we have developed a fair identity normalization technique to improve model performance equity.
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AI for medical data cleaning
Our team is dedicated to developing AI-based data cleaning technologies, aiming to provide cleaner data and enhance diagnostic outcomes for eye diseases.
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Vision loss detection and progression prediction
Our team aim to better characterize the functional loss from ocular diseases with the goals of developing novel diagnostic methods and improving the progression prediction.
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Interpretable AI for pathophysiology discovery
Our team aims to design a deep learning model to quantify the retinal layer importance and regional importance of each retinal layer in predicting various ocular and systematic diseases.
Read MoreWhat We Do
Harvard AI and Robotics Lab strives to transform human wellbeing through the power of artificial intelligence and robotics with our passionate research. Our AI and robotics research spans generative AI, multimodal large language models, AI fairness, AI in medicine, and AI-powered smart devices and robotics. We publish our research in prominent AI conferences such as CVPR and ICLR and leading scientific journals. We are dedicated to promoting knowledge-sharing and research collaborations.

Media Report: AI Equity
In this video interview, Dr. Mengyu Wang discussed AI equity issues.
Read MoreLatest News
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Professor Yilun Du’s seminar
February 24, 2025 -
Professor Qifeng Chen’s seminar
February 20, 2025 -
Professor Hongxia Yang’s seminar
January 22, 2025 -
Equitable glaucoma screening paper published by npj Digital Medicine
January 20, 2025