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职业迁徙
个人简介
His research interests are in the development of probabilistic machine learning and computer vision tools for robotics applications. Specifically he is interested in bridging robot perception and control, by making use of probabilistic programming and leveraging advances in representation learning. Michael has a broad background in robotics, data science and computer vision research and development in support of industry and government, in applications ranging from agriculture to mining.
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论文共 85 篇作者统计合作学者相似作者
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arxiv(2024)
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INTERNATIONAL JOURNAL OF ROBOTICS RESEARCHno. 7 (2024): 981-1002
IEEE ROBOTICS AND AUTOMATION LETTERSno. 3 (2024): 2822-2829
2023 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA (2023): 5034-5040
IEEE SENSORS JOURNALno. 23 (2023): 29513-29524
IEEE Sensors Journalno. 23 (2023): 29513-29524
Communications Engineeringno. 1 (2023): 1-11
Autonomous Robotsno. 6 (2023): 733-751
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