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Filtering by: Creator Heideman, Colby L. Remove constraint Creator: Heideman, Colby L. Academic Affiliation Mechanical, Industrial, and Manufacturing Engineering Remove constraint Academic Affiliation: Mechanical, Industrial, and Manufacturing Engineering

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  • Theoretical and implementation improvements for difference evaluation functions

    Creator:
    Colby, Mitchell Kataichi
    Abstract:
    Multiagent learning with cooperative coevolutionary algorithms is a critical area of research, and is relevant to many real-world applications including air traffic control, distributed sensor network control, and game-theoretic applications such as border patrol. A key difficulty in multiagent learning is the credit assignment problem, where the impact of each...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Mitchell Kataichi Colby

  • 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:
    ), the energy (EL) in one water wave- length (L) is the sum of its potential and kinetic energies [14

  • Initial Designs for Improving Conversations for People Using Speech Synthesizers

    Creator:
    Nguyen, Duy M.
    Abstract:
    This thesis aims to determine the impact that Augmentative and Alternative Communication (AAC) devices have on social interactions, and then improves the AAC user experience through a user focus design process. AAC devices enable people who cannot speak to communicate with others. Unfortunately, they are tedious to use and make...
    Resource Type:
    Masters Thesis
    Full Text:
    D L R D 0.87 – Face L 0.90 0.79 – R 0.76 0.81 0.72 – S 0.95 0.80 0.90 0.64 D 0.84 – Around L 0.93

  • Learning-based Control of Experimental Hybrid Fuel Cell Power Plant

    Creator:
    Gabler, Andrew
    Abstract:
    Direct red Solid Oxide Fuel Cell (SOFC) Turbine hybrid plants have the potential to dramatically increase power plant efficiency, decrease emissions, and provide fast response to transient loads. The US Department of Energy's (DOE) Hybrid Performance Project is an experimental hybrid SOFC plant, built at the National Energy Technology Laboratory...
    Resource Type:
    Masters Thesis
    Full Text:
    . Also, Dr. Mitchell Colby for his help with all of the code involved in this work, as well as the other

  • D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

    Creator:
    Rahmattalabi, Aida
    Abstract:
    Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
    Resource Type:
    Masters Thesis

  • Optimization Across Decomposition : A Multiagent Model of Collaboration in Decomposed System Design

    Creator:
    Hulse, Daniel E.
    Abstract:
    Complex engineered systems design is a collaborative activity. To design a system, experts from the relevant disciplines must work together to create the best overall system from their individual components. This situation is analogous to a multiagent system in which agents solve individual parts of a larger problem. Current multiagent...
    Resource Type:
    Masters Thesis
    Full Text:
    reward (G) and decreases performance using the local reward (L). All strategies outperform decaying

  • Providing Informative Feedback for Learning in Tightly Coupled Multiagent Domains

    Creator:
    Rockefeller, Golden C.
    Abstract:
    Autonomous agents that sense, decide, act, and coordinate effectively with each other are critical in many real-world domains such as autonomous driving, search and rescue missions, air traffic management, and underwater or deep space exploration. All such domains share a key difficulty: though high-level mission goals are clear to system...
    Resource Type:
    Dissertation

  • Design of Complex Engineered Systems Using Multiagent Coordination

    Creator:
    Soria Zurita, Nicolás Francisco
    Abstract:
    This thesis is the combination of two research publications working toward a unified strategy in which the design of complex engineered systems can be completed using a multiagent coordination approach. Current engineered system modeling techniques segment large complex models into multiple groups to be simulated independently. These methods restrict the...
    Resource Type:
    Masters Thesis
    Full Text:
    thank Dr. Mitchell Colby, Dr. Chris Hoyle and Dr. Kagan Tumer. Like Dr. Tumer, they inspired many of the

  • Artificial Swarm Control Through Learning Based Leadership

    Creator:
    Tuzel, Ovunc
    Abstract:
    Collective migration in animal groups is often guided by distributed leader agents that influence their peers by modulating their motion behaviors. Distributed leadership is a promising navigation strategy for artificial swarms, but designing the leaders’ controllers is difficult due to the swarm’s collective emergent behaviors. The presented research formulates a...
    Resource Type:
    Masters Thesis
    Full Text:
    model, swarm size and leader percentage (L%). Median is reported due to a large number of outliers

  • Combining coordination mechanisms to improve performance in multi-robot teams

    Creator:
    Nasroullahi, Ehsan
    Abstract:
    Coordination is essential to achieving good performance in cooperative multiagent systems. To date, most work has focused on either implicit or explicit coordination mechanisms, while relatively little work has focused on the benefits of combining these two approaches. In this work we demonstrate that combining explicit and implicit mechanisms can...
    Resource Type:
    Masters Thesis
    Full Text:
    and 3.2, respectively): s1,q,η,t � ¸ iPPOI Vi δpLi, Lη,tq (3.1) 26 s2,q,η,t � ¸ ηPRover 1