Learning from Demonstrations with Koopman Operators for Robotics
We learn dynamical systems from demonstrations for robot motion planning with the Koopman operator.
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Active Learning of Unknown Flows with Koopman Operators for Robotics
We present EnKode, an active learning framework based on Koopman operator theory for modeling unknown flow fields and guiding robotic active sensing with uncertainty quantification
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Robotic Information Gathering for Crop Health Monitoring
A novel robotic platform is being developed to localize and classify novel agricultural sensors that directly interface crop surfaces to assess crop conditions.
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