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  • Deep learning for robotic exploration

    Creator:
    Caley, Jeffrey A.
    Abstract:
    Emerging applications for robotic data collection include ocean monitoring, emergency response and urban search and rescue. At the core of these applications is a robot's ability to make informed decisions on incomplete data. This dissertation addresses this problem by developing novel techniques for modeling and estimating structured environments using deep...
    Resource Type:
    Dissertation
    Full Text:
    Exploration Abstract approved: Geoffrey A Hollinger Emerging applications for robotic data collection

  • Non-Myopic Distributed Coordination and Planning for Robotic Teams

    Creator:
    Smith, Andrew
    Abstract:
    As robotic systems become increasingly prevalent in our lives (e.g., by harvesting food, assisting with disaster response and defense, and transporting persons and our goods around the world) there is a growing need to ensure that they can cooperate to achieve their intended goals. Robotic cooperation in the real-world is...
    Resource Type:
    Dissertation
    Full Text:
    : Non-Myopic Distributed Coordination and Planning for Robotic Teams Abstract approved: Geoffrey A

  • Communication Planning for Cooperative Terrain-Based Underwater Localization

    Creator:
    Anderson, Jacob
    Abstract:
    This thesis presents a decentralized communication planning algorithm for cooperative terrain-based navigation (dec-TBN) with autonomous underwater vehicles. The proposed algorithm uses forward simulation to approximate the value of communicating at each time step. The simulations are used to build a directed acyclic graph that can be searched to provide a...
    Resource Type:
    Masters Thesis
    Full Text:
    Cooperative Terrain-Based Underwater Localization Abstract approved: Geoff Hollinger This thesis presents

  • Deployment Planning for Multiple Marsupial Robots

    Creator:
    Lee, Chris (Yu Hsuan)
    Abstract:
    Multi-robot systems are versatile and extremely capable of exploration tasks in complex environments. Increasingly sophisticated planners, which incorporate new features of a multi-robot system, are necessary for the operation of the systems. Marsupial robots are multi-robot systems consisting of a carrier robot (e.g., a ground vehicle), which is highly capable...
    Resource Type:
    Masters Thesis
    Full Text:
    Multiple Marsupial Robots Abstract approved: Geoffrey Hollinger Multi-robot systems are versatile and

  • Modeling human expertise for providing adaptive levels of robot shared autonomy

    Creator:
    Milliken, Lauren
    Abstract:
    In shared autonomy, a robot and human user both have some level of control in order to achieve a shared goal. Choosing the balance of control given to the user and the robot can be a challenging problem since different users have different preferences and vary in skill levels when...
    Resource Type:
    Masters Thesis
    Full Text:
    Providing Adaptive Levels of Robot Shared Autonomy Abstract approved: Geoffrey A Hollinger In shared

  • Model Predictive Control for Underwater Robots in Ocean Waves

    Creator:
    Fernández, Daniel C.
    Abstract:
    Underwater robots beneath ocean waves can benefit from feedforward control to reduce position error. This thesis proposes a method using Model Predictive Control (MPC) to predict and counteract future disturbances from an ocean wave field. The MPC state estimator employs a Linear Wave Theory (LWT) solver to approximate the component...
    Resource Type:
    Masters Thesis
    Full Text:
    Waves Abstract approved: Geoffrey A. Hollinger Underwater robots beneath ocean waves can benefit from

  • Topologically-Guided Robotic Information Gathering

    Creator:
    McCammon, Seth
    Abstract:
    Information gathering tasks, such as terrestrial search and rescue, aerial inspection, and marine monitoring, require robotic unmanned systems to make decisions on how to travel within an environment to maximize or minimize a path-dependent information objective function. The distribution of information throughout the environment is the result of various processes,...
    Resource Type:
    Dissertation
    Full Text:
    -Guided Robotic Information Gathering Abstract approved: Geoffrey A. Hollinger Information gathering

  • Efficiently Learning Human Preferences for Robot Autonomy

    Creator:
    Somers, Thane N.
    Abstract:
    Human-robot teams are invaluable for mapping unknown environments, exploring difficult-to-reach areas, and manipulating inaccessible equipment. However, guiding autonomous robots requires dealing with these dynamic domains while synthesizing a significant amount of data and balancing competing objectives. Current mission planning methods often involve manually specifying low-level parameters of the mission, such...
    Resource Type:
    Masters Thesis
    Full Text:
    Human Preferences for Robot Autonomy Abstract approved: Geoffrey A. Hollinger Human-robot teams are

  • 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:
    approved: Geoffrey A. Hollinger We present a method for decentralized, multi-robot exploration in adverse

  • Learning-based Techniques for Fast and Robust Motion Planning

    Creator:
    Chow, Scott
    Abstract:
    Motion planning is a cornerstone of autonomous robots, enabling robots to safely and efficiently perform tasks such as package delivery, infrastructure inspection, and manipulation. However, as the field of robotics matures, robotic systems are being developed that (1) are challenging to analytically model, (2) require computationally expensive model-based controllers, and...
    Resource Type:
    Dissertation
    Full Text:
    Techniques for Fast and Robust Motion Planning Abstract approved: Geoffrey A. Hollinger Motion planning is