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Filtering by: Creator Agogino, Adrian Remove constraint Creator: Agogino, Adrian Degree Field Mechanical Engineering Remove constraint Degree Field: Mechanical Engineering License All rights reserved Remove constraint License: All rights reserved

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  • CLEAN learning to improve coordination and scalability in multiagent systems

    Creator:
    HolmesParker, Chris
    Abstract:
    Recent advances in multiagent learning have led to exciting new capabilities spanning fields as diverse as planetary exploration, air traffic control, military reconnaissance, and airport security. Such algorithms provide a tangible benefit over traditional control algorithms in that they allow fast responses, adapt to dynamic environments, and generally scale well....
    Resource Type:
    Dissertation
    Full Text:
    , Billy Bloudek, Adrian Agogino, and Orville Holmes. The support, advice, and help I have received from

  • 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

  • Learning-based control and coordination of autonomous UAVs

    Creator:
    Bell, Adam R.
    Abstract:
    Uninhabited aerial vehicles, also called UAVs are currently controller by a combination of a human pilot at a remote location, and autopilot systems similar to those found on commercial aircraft. As UAVs transition from remote piloting to fully autonomous operation, control laws must be developed for the tasks to be...
    Resource Type:
    Masters Thesis

  • 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:
    NASA Ames Research Center. During and after my internship at Ames, Adrian Agogino and Vytas SunSpiral

  • 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

  • Structure and Actuation of Cephalopod-Inspired Soft Robots

    Creator:
    Olson, Gina M.
    Abstract:
    Cephalopod-inspired soft robot arms have been studied as a new type of manipulator. These arms have been proposed for reach and grab tasks, underwater locomotion via swimming and walking, and robotic surgery. However, the capabilities of existing soft arms are limited to simple motions and light loads. Arm design has...
    Resource Type:
    Dissertation

  • A Computational Framework for Resilience-Informed Design

    Creator:
    Hulse, Daniel E.
    Abstract:
    It is desirable for complex engineered systems to perform missions efficiently and economically, even when these missions' complex, variable, long-term operational profiles make it likely for hazards to arise. It is thus important to design these systems to be resilient so that they will actively prevent and recover from hazards...
    Resource Type:
    Dissertation