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  • Terrain-Aware Probabilistic Search Planning for Unmanned Aerial Vehicles

    Creator:
    Schomer, Nathan L.
    Abstract:
    Mountain search and rescue is a vital form of emergency response to assist people in austere environments (e.g., extreme terrain, poor weather). Volunteer mountain search and rescue teams in the United States have begun adopting consumer- grade unmanned aerial vehicles to assist a variety of tasks (e.g., search, resource delivery);...
    Resource Type:
    Masters Thesis

  • Learning from optimization for bipedal robots

    Creator:
    Yu, Fangzhou
    Abstract:
    Legged robots have consistently captured our collective imagination through various forms of media, from Hollywood films, anime, and viral Youtube videos of robots accomplishing incredible feats of acrobatics. These robots have the potential to navigate our environments, capable of completing tasks that would otherwise require human intervention. However, developing controls...
    Resource Type:
    Masters Thesis
    Full Text:
    generating offline motion plans over long time horizons. For fixed-base robotic manipulators, this could

  • 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:
    alternative to more traditional model-based or optimization-based control methods in solving robotic legged

  • 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:
    survey of 20 human comedians to inform the design of robotic comedians. Using the comedians’ insights

  • A Framework for Designing Task-Specific Robot Hands Based on Task Decomposition and Sub-Task Performance Benchmarks

    Creator:
    Campbell, Joshua M.
    Abstract:
    As technologies like 3D printing increase in prevalence and capabilities, having a robot hand specifically designed for a given manipulation task also becomes more feasible. Leading to the question of how to design a robot hand for a specific manipulation task. To answer this question, I propose we need three...
    Resource Type:
    Masters Thesis

  • 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

  • Agile Bipedal Maneuvers Optimized then Learned from Single Rigid-Body Model Dynamics

    Creator:
    Batke, Ryan
    Abstract:
    As bipedal robots move ever closer to being integrated into all manner of real world envi-ronments there is a necessity to push their dynamic capabilities to meet or exceed those of humans and animals. Advancements must be made to address ordinary challenges that arise everyday in the same environments that...
    Resource Type:
    Masters Thesis
    Full Text:
    been used in some robotic control tasks [16, 20], but generally struggle to translate to higher

  • 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:
    ? Such robotic furniture has been featured in advertisements, art, and Human- Robot Interaction (HRI

  • Geometric Optimization Methods for Mobile Systems

    Creator:
    Bass, Capprin J.
    Abstract:
    When studying robot systems, it is common to ask about optimal approaches to accomplish a given task. In the context of mobile systems, particularly biomimetic systems, optimization tasks are closely related to the relevant dynamics of locomotion. In this thesis, building on prior work from the geometric mechanics community, we...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract A key problem in robotic locomotion is in finding optimal shape changes to effectively displace

  • 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 robotic mission planning. This research is motivated by the challenges robots