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Filtering by: Committee Member Smart, William D. Remove constraint Committee Member: Smart, William D. Academic Affiliation Mechanical, Industrial, and Manufacturing Engineering Remove constraint Academic Affiliation: Mechanical, Industrial, and Manufacturing Engineering

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  • Planning Under Uncertainty for Unmanned Aerial Vehicles

    Creator:
    Skeele, Ryan
    Abstract:
    Unmanned aerial vehicle (UAV) technology has grown out of traditional research and military applications and has captivated the commercial and consumer markets, showing the ability to perform a spectrum of autonomous functions. This technology has the capability of saving lives in search and rescue, fighting wildfires in environmental monitoring, and...
    Resource Type:
    Masters Thesis
    Full Text:
    data. In all cases, RAGS is shown to reduce the probability of executing high-cost paths over A*, D

  • Toward Machine Learning-Enabled Adaptivity for Humorous Robots

    Creator:
    Gray, Carson C.
    Abstract:
    Social robots benefit from a sense of humor, which requires the ability to recognize and adapt to human responses during playful interactions. Past work on humorous robots has classified audience responses with audio-based and preliminary visual-based methods following the joke punchline. Building on this progress, we conducted a survey of...
    Resource Type:
    Masters Thesis
    Full Text:
    Walcott and Huy Nguyen. Thank you to Professors Grimm, Smart, Hollinger, Jerman, Fitter, Hatton, Calvo

  • Practical Reinforcement Learning for Bipedal Locomotion

    Creator:
    Dao, Jeremy
    Abstract:
    Reinforcement learning has emerged as a popular tool for solving control tasks, with multiple works focusing on the complex and dynamic task of locomotion. However, the naive application of reinforcement learning to this problem often produces maladaptive policies that exploit the model or reward function. This results in behavior that...
    Resource Type:
    Capstone Project
    Full Text:
    ) = ∇θ ∫ r(τ)πθ(τ)dτ = ∫ r(τ)∇θπθ(τ)dτ = ∫ r(τ)∇θπθ(τ) πθ(τ) πθ(τ) dτ = ∫ r(τ)∇θ log πθ(τ)πθ(τ)dτ

  • Deep Perception Without a Camera: Enabling 3D Reconstruction and Object Recognition using Lidar and Sonar Sensing

    Creator:
    DeBortoli, Robert A.
    Abstract:
    Deep learning has recently revolutionized robot perception in many canonical robotic applications, such as autonomous driving. However, a similar transformation has yet to occur in more harsh environments including underwater and underground. This is due in part to the difficulty in deploying robots in these environments, which lack large real...
    Resource Type:
    Dissertation
    Full Text:
    Bill Smart for offering their diverse expertise and being available whenever I sought advice. I would

  • Improving robotic grasping performance using machine learning techniques

    Creator:
    Goins, Alex Keith
    Abstract:
    Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...
    Resource Type:
    Masters Thesis
    Full Text:
    ) Sarah (b) Shadow (c) iRobot (d) Sandia. 3 2.1 Flow chart of experimental procedure

  • 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:
    . Hollinger William D. Smart As robotic systems become increasingly prevalent in our lives (e.g., by

  • Adaptive Multiagent Traffic Management for Autonomous Robotic Systems

    Creator:
    Rebhuhn, Carrie
    Abstract:
    There is growing commercial interest in the use of unmanned aerial vehicles (UAVs) in urban environments, specifically for package delivery applications. However, the size, complexity and sheer numbers of expected UAVs makes conventional air traffic management that relies on human air traffic controllers infeasible. To enable UAVs to safely and...
    Resource Type:
    Dissertation
    Full Text:
    V do 2: d[u] := f [u] := infinity initialize vertex u 3: color[u] = WHITE 4: p[u] := u 5: end for 6

  • Multiagent learning for locomotion and coordination in tensegrity robotics

    Creator:
    Iscen, Atil
    Abstract:
    Tensegrity structures are composed of pure compressional elements that are connected via a network of pure tensional elements. The concept of tensegrity promises numerous advantages to the field of robotics. Tensegrity robots are, however, notoriously difficult to control due to their oscillatory nature and nonlinear interaction between the components. Multiagent...
    Resource Type:
    Dissertation
    Full Text:
    to show similarities. Subfigure (d) shows that groups of signals have similar patterns

  • 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:
    of the members of my committee—Dr. Bill Smart, Dr. Julie Adams, Dr. Alan Fern, and Dr. Bogdan

  • Evaluation of Abaqus for simulating quasi-static Mode III shear of edge notched carbon fiber reinforced polymer panels

    Creator:
    Hyder, Imran
    Abstract:
    The ability to engineer stiffness and strength in any desired direction make composites an ideal material candidate for various applications when compared to their traditional isotropic counterparts. In spite of this, the ability to model the material response in composites has yet to be fully explored. Composite research largely focuses...
    Resource Type:
    Masters Thesis