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职业迁徙
个人简介
I am interested in developing novel learning control strategies to enable online performance improvements of robotic systems based on experience. In many cases, system identification for controller design is a challenging task, especially when trying to account for interactions with unmodelled environmental disturbances. Our approach is to learn these disturbances online and incorporate them either through feed-forward control or model improvements. The techniques are being tested in the context the ASRL Visual Teach and Repeat algorithm, originally developed by Furgale and Barfoot (2010), and the Network of Reusable Paths algorithm, originally developed by Stenning and Barfoot (2011).
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user-5d4bc4a8530c70a9b361c870(2016)
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2015 IEEE International Conference on Robotics and Automation (ICRA)pp.1519-1526, (2015)
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