Search Constraints

Start Over
Filtering by: Committee Member Smart, William D. Remove constraint Committee Member: Smart, William D. Degree Field Robotics Remove constraint Degree Field: Robotics

Search Results

  • 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

  • Counterfactual thinking applied to multiagent systems

    Creator:
    Zerbel, Nicholas
    Abstract:
    Multiagent approaches are well suited to designing autonomous solutions for systems that feature complex interactions between many individuals such as in autonomous traffic systems and multi-robot exploration systems. However, creating autonomous agents that function effectively in these systems is a challenging task. In these complex environments, agents need informative reward...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . 17 2.3.2 D++ Evaluations . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.3.3 Other

  • Robust Long Term Autonomy Through Local Behaviors

    Creator:
    Yates, Connor L.
    Abstract:
    Multi-robot teams offer promising solutions for many long term deployments in remote and dangerous domains, such as extraterrestrial or underseas exploration. However, long term deployments present many problems preventing robot teams from operating effectively. Learning over long time scales is makes it difficult to assign credit to robots' actions, as...
    Resource Type:
    Dissertation
    Full Text:
    will only equal 1 if and only if B-type and D- type POIs have been observed

  • 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

  • Design and Initial Analysis of a Wearable Device for Anxiety Management

    Creator:
    Brown, Hannah E.
    Abstract:
    Deep pressure therapy (DPT) is a method of anxiety relief that uses pressure sensations to lower the stress response produced in the brain, and functions in a manner similar to a hug. Heavily weighted blankets and weighted vests are most commonly used to apply DPT, though recent work has shown...
    Resource Type:
    Masters Thesis
    Full Text:
    safe for a user to wear. (D.) Wearing the device should cause the user to show biosignal responses

  • 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

  • Socially Communicative Multi-Robot Motion and Formation: Algorithm Development and Validation

    Creator:
    Bacula, Alexandra
    Abstract:
    Expressive motion has been found to be a highly effective tool in communicating intent and motivation in single robot human-robot interaction, but work in exploring how groups of robots can use motion in interactions with humans is relatively nascent. There are many additional complexities to consider expanding from single robot...
    Resource Type:
    Dissertation
    Full Text:
    Hollinger, and Dr. Bill Smart for their time and input. I would also like to thank my peers, cohort, and

  • 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

  • Augmented Deep Learning Techniques for Robotic State Estimation

    Creator:
    Nicolai, Austin L.
    Abstract:
    While robotic systems may have once been relegated to structured environments and automation style tasks, in recent years these boundaries have begun to erode. As robots begin to operate in largely unstructured environments, it becomes more difficult for them to effectively interpret their surroundings. As sensor technology improves, the amount...
    Resource Type:
    Dissertation
    Full Text:
    continued support and mentorship during my time at OSU. I would also like to thank Drs. William Smart