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Filtering by: Creator Welter, Stephen C. Remove constraint Creator: Welter, Stephen C. Academic Affiliation Mechanical, Industrial, and Manufacturing Engineering Remove constraint Academic Affiliation: Mechanical, Industrial, and Manufacturing Engineering Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • 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:
    : SUPERBall. c©Copyright by Atil Iscen May 14, 2014 All Rights Reserved Multiagent Learning for

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    interface that uses this timeline interface paradigm. c©Copyright by William Curran June 5, 2017 All