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Filtering by: Creator Emenger, Robert S. Remove constraint Creator: Emenger, Robert S. Committee Member Fern, Alan Remove constraint Committee Member: Fern, Alan Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering

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  • Applying hierarchical and adaptive control to coordinating simple robots

    Creator:
    Knudson, Matthew D.
    Abstract:
    Coordinating multiple robots to achieve a complex task requires solving two distinct control problems: the high-level control problem of ensuring that each robot aims to perform a useful task (e.g., coordination) and the low-level control problem of ensuring that each robot actually performs the correct actions to achieve its task...
    Resource Type:
    Masters Thesis
    Full Text:
    ) reinforcement learning algorithm. s, a, and r are the current state, action, and re- ward respectively. Next

  • 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:
    speeds. Even if it is trained with a robot that has motors with 0.2 m/s speed, it can still roll with