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Filtering by: Creator Evans, T. Matthew Remove constraint Creator: Evans, T. Matthew Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering Subject Multiagent systems Remove constraint Subject: Multiagent systems

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  • Coevolution and transfer learning in a point-to-point fleet coordination problem

    Creator:
    Yliniemi, Logan Michael
    Abstract:
    In this work we present a multiagent Fleet Coordination Problem (FCP). In this formulation, agents seek to minimize the fuel consumed to complete all deliveries while maintaining acceptable on-time delivery performance. Individual vehicles must both (i) bid on the rights to deliver a load of goods from origin to destination...
    Resource Type:
    Masters Thesis
    Full Text:
    time T “ tt|0 § t § T end u, a set of customers C “ tc1, c2, ..., cnCu in the 3-dimensional Euclidian

  • A neuro-evolutionary multiagent approach to multi-linked inverted pendulum control

    Creator:
    Sills, Stephen
    Abstract:
    Recent work has shown humanoid robots with spinal columns, instead of rigid torsos, benefit from both better balance and an increased ability to absorb external impact. Similarly, snake robots have shown promise as a viable option for exploration in confined spaces with limited human access, such as during power plant...
    Resource Type:
    Masters Thesis
    Full Text:
    27 distance from point T to the tip of the pendulum is found using standard Cartesian coordinates

  • 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:
    (taken from the T-Motor Professional Series). This choice, Am, gives the defining parameters of the

  • 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:
    t. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.3 Learning curve for the open

  • Multi-Objective Optimization in Multiagent Systems

    Creator:
    Yliniemi, Logan Michael
    Abstract:
    Cooperative multiagent systems are used as solution concepts in many application domains including air traffic control, satellite communications, and extra planetary exploration. As systems become more distributed and complex, we observe three phenomena. First, these systems cannot be accurately modeled, rendering traditional model based control methods inadequate. Second, system parameters...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . 102 6.3 PaCcET solution densities in KUR on tF1, F2u using T R´ LC ´ Ξ. . 106 6.4 PaCcET solution