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Filtering by: Creator Cann, David P. Remove constraint Creator: Cann, David P. Degree Level Master's Remove constraint Degree Level: Master'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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  • 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

  • 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:
    of liquid drunk (r = 0.07 , p>0.05) or the amount of liquid discarded (r = 0.01 , p>0.05). No

  • 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:
    provide a distribution 11 of labelled tasks p(T ) for meta-training. When adapting to a new task Ti

  • Designing and Evaluating a User Interface for Multi-Robot Furniture

    Creator:
    Stoddard, Brett
    Abstract:
    A chair, once placed, will stay put until moved. Or will it? With the rise of technology being embeddable into everyday objects, what if that chair could move itself? Such robotic furniture has been featured in advertisements, art, and Human-Robot Interaction (HRI) research. Existing methods for operating robotic furniture have...
    Resource Type:
    Masters Thesis
    Full Text:
    -specific metrics and tested conditions. Statistically significant results are bolded and italicized (p