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Filtering by: Creator Jager, Matthew J. Remove constraint Creator: Jager, Matthew J. Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.) Non-Academic Affiliation Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute Remove constraint Non-Academic Affiliation: Oregon State University. Collaborative Robotics and Intelligent Systems (CoRIS) Institute

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  • Patient Compliance Effects on Simulated Ebola Medical Care Delivery with a Telepresence Robot

    Creator:
    Brian, Makenzie M.
    Abstract:
    When treating highly infectious diseases, patient compliance with caregiver recommendations is crucial. Many patients who contract Ebola Virus Disease have symptoms including vomiting and severe diarrhea and die from the resulting dehydration if they do not drink enough fluids. Telepresence robots are useful in the context of Ebola treatment for...
    Resource Type:
    Masters Thesis
    Full Text:
    : Benjamin Narin, Christopher Bollinger, Matthew Rueben, Jeffrey Klow, Austin Nicolai, Austin Whitesell

  • Towards Annotation-Efficient Video Representation Learning

    Creator:
    Patravali, Jay Sanjay
    Abstract:
    Labeling videos is costly, time-consuming and tedious. These costs can escalate in applications such as medical diagnosis or autonomous driving where we need domain expertise for annotation. Few-shot action recognition aims to solve this problem by annotation-efficient learning mechanisms. This thesis presents MetaUVFS as the first Unsupervised Meta-learning algorithm for...
    Resource Type:
    Masters Thesis
    Full Text:
    ∑ i=1 J(θ)(f(xi; θ), yi) (2.2) The loss function J(θ) can be considered as a multi-class cross

  • Near-contact Grasping Strategies: Improve Robotic Grasping from Awkward Poses with Deliberate Finger Motion

    Creator:
    Ong, Yi Herng
    Abstract:
    As robots are becoming more relevant to our lives, they are still having hard time accomplishing simple tasks such as picking and lifting. Problems that include environmental constraints, pose uncertainties and hardware noises restrain robots for grasping an object successfully from a perceivable environment. Many have looked into finding best...
    Resource Type:
    Masters Thesis