Sökning: "mobila agenter"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden mobila agenter.

  1. 1. Explainable AI for Multi-Agent Control Problem

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Hanna Prokopova; [2023]
    Nyckelord :;

    Sammanfattning : This report presents research on the application of policy explanation techniques in the context of coordinated reinforcement learning (CRL) for mobile network optimization. The goal was to improve the interpretability and comprehensibility of decision-making processes in multi-agent environments, with a particular focus on the Remote Antenna Tilt (RET) problem. LÄS MER

  3. 2. Scalable Reinforcement Learning for Formation Control with Collision Avoidance : Localized policy gradient algorithm with continuous state and action space

    Master-uppsats, KTH/Skolan för teknikvetenskap (SCI); KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Andreu Matoses Gimenez; [2023]
    Nyckelord :Control theory; Multi-agent systems; Distributed systems; Formation control; Collision avoidance; Reinforcement learning; Teoria de control; Sistemes multiagent; Sistemes distribuïts; Control de formació; Prevenció de col·lisions; Reinforcement Learning; Reglerteknik; Multi-agent system; Distribuerade system; formationskontroll; Kollisionsundvikande; Reinforcement learning; Teoría de control; Sistemas multiagente; Sistemas distribuidos; Control de formación; Prevención de colisiones; Reinforcement Learning;

    Sammanfattning : In the last decades, significant theoretical advances have been made on the field of distributed mulit-agent control theory. One of the most common systems that can be modelled as multi-agent systems are the so called formation control problems, in which a network of mobile agents is controlled to move towards a desired final formation. LÄS MER

  4. 3. Safe Reinforcement Learning for Human-Robot Collaboration : Shielding of a Robotic Local Planner in an Autonomous Warehouse Scenario

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Lukas Vordemann; [2022]
    Nyckelord :Human-Robot Collaboration; Safe Reinforcement Learning; Shielding; Risk Management; Autonomous Warehouse; Människa-Robot Samarbete; Säker Förstärkningsinlärning; Avskärmning; Riskhantering; Autonomt Lager;

    Sammanfattning : Reinforcement Learning (RL) is popular to solve complex tasks in robotics, but using it in scenarios where humans collaborate closely with robots can lead to hazardous situations. In an autonomous warehouse, mobile robotic units share the workspace with human workers which can lead to collisions, because the positions of humans or non-static obstacles are not known by the robot. LÄS MER

  5. 4. Distributed Decentralised Visual SLAM for Multi-Agent Systems

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Srihaarika Vijjappu; [2020]
    Nyckelord :;

    Sammanfattning : A key challenge in multi robot systems is performing distributed SLAM (Simultaneous Localisation and Mapping). The aim of this thesis is to be able to perform visual SLAM in a decentralised manner across multiple autonomous agents while minimising the inter-agent communication bandwidth requirement. LÄS MER

  7. 5. Distributed event-triggered control for collective target localization and circumnavigation

    Master-uppsats, KTH/Reglerteknik

    Författare :Dario Mariniello; [2017]
    Nyckelord :;

    Sammanfattning : This thesis is concerned with accomplishing a localization and circumnavigationmission with a network of autonomous mobile agents. An estimatealgorithm and a decentralized control law are designed, such that every agentestimates the position of a target, and the mobile agents eventually exhibitpersistent rotations about the target at a desired distance, while forming aregular polygon around it. LÄS MER