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Filtering by: Graduation year 2023 Remove constraint Graduation year: 2023 Committee Member Lee, Stefan Remove constraint Committee Member: Lee, Stefan Degree Level Master's Remove constraint Degree Level: Master's

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  • Branch reconstruction and modelling for pruning

    Creator:
    Josyula, Gopala Krishna
    Abstract:
    Successful pruning relies on accurately identifying the 3D structure of tree branches and leaders. However, this task is arduous in an agricultural setting due to the complexity of scenes, the presence of clutter, and variable weather conditions. This project addresses these challenges by leveraging advancements in 2D image segmentation and...
    Resource Type:
    Capstone Project
    Full Text:
    Krishna for the degree of Master of Science (M.S.) in Robotics presented on June 8, 2023. Title: Branch

  • LabelFlicks

    Creator:
    Ruangrotsakun, Chalida
    Abstract:
    Using supervised machine learning (ML) to train a computer vision model typically requires human annotators to label objects in images and video. Given a large training dataset, this can be labor intensive, presenting a significant bottleneck in the model-development process. LabelFlicks is an open-source desktop application that aims to address...
    Resource Type:
    Capstone Project
    Full Text:
    of Master of Science in Computer Science Presented September 1, 2023 Commencement 2023 ABSTRACT

  • Robust Reference-Free Sim-to-Real Reinforcement Learning for Bipedal Locomotion

    Creator:
    Siekmann, Jonah A.
    Abstract:
    In recent years, model-free Deep Reinforcement Learning (RL) has become an increasingly popular alternative to more traditional model-based or optimization-based control methods in solving robotic legged locomotion. However, deploying RL in the real world can be a significant undertaking. Constructing reward functions which compel controllers to learn the desired behavior...
    Resource Type:
    Masters Thesis
    Full Text:
    for the degree of Master of Science in Robotics presented on March 15, 2023. Title: Robust Reference

  • Detecting Anomalies in Object Appearance and Motion Dynamics

    Creator:
    Alotaibi, Mazen
    Abstract:
    Machine common sense remains a broad, potentially unbounded problem in AI. Our focus is to move toward AI systems that can develop common-sense reasoning similar to humans to detect anomalies. In particular, we study the problem of detecting the violation of expectations when object appearance or motion dynamics change from...
    Resource Type:
    Capstone Project
    Full Text:
    Presented August 29, 2022 Commencement June 2023 ABSTRACT OF THE PROJECT OF Mazen Alotaibi for the

  • Window Axial Vision Transformer for Image Classification

    Creator:
    Lee, Jisoo
    Abstract:
    Currently, a popular approach to image classification uses the deep Transformer architecture. In a Transformer, the attention mechanism enables the model to learn efficiently with fewer computational resources than the convolutional neural networks (CNNs). In this thesis, we study the sparse attention mechanism widely used in the Transformers developed specifically...
    Resource Type:
    Masters Thesis
    Full Text:
    for the degree of Master of Science Presented July 27, 2022 Commencement June 2023 Master of

  • Decentralized Multi-Robot Exploration with Sparse Communication through Deep Imitation Learning

    Creator:
    Senewiratne, Yomal K.
    Abstract:
    We present a method for decentralized, multi-robot exploration in adverse environments where communication is minimal. A key conceptual feature of our method is enabling implicit coordination between robots by training a Convolutional Neural Network (CNN) as a heuristic for planning using Monte Carlo Tree Search (MCTS). Our method consists of...
    Resource Type:
    Masters Thesis
    Full Text:
    of Science Presented September 06, 2022 Commencement June 2023 Master of Science thesis of Yomal