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个人简介
Kavraki's research interests span robotics, AI, and biomedicine. In robotics and AI, she is interested in enabling robots to work with people and in support of people. Her research develops the underlying methodologies for achieving this goal: algorithms for motion planning for high-dimensional systems with kinematic and dynamic constraints, integrated frameworks for reasoning under sensing and control uncertainty, novel methods for learning and for using experiences, and ways to instruct robots at a high level and collaborate with them. Kavraki’s lab is inspired by a variety of applications: from robots that will assist people in their homes, to robots that assist in surgeries, to robots that would build space habitats. In biomedicine she develops computational methods and tools to model protein structure and function, understand biomolecular interactions, aid the process of medicinal drug discovery, analyze the molecular machinery of the cell, and help integrate biological and biomedical data for improving human health. Her work has applications, among others, in personalized immunotherapy. Kavraki’s research blends her extensive interdisciplinary background in computer science, artificial intelligence, machine learning, bioengineering and biomedical sciences promoting the convergence of these disciplines.
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ISCIENCEno. 1 (2024): 108613-108613
ImmunoInformatics (2024): 100030
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Journal of chemical information and modelingno. 5 (2024): 1730-1750
arxiv(2023)
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Communications Chemistryno. 1 (2023): 1-12
ICRApp.9764-9770, (2023)
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