Sökning: "Autonomt Undervattensfordon"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden Autonomt Undervattensfordon.

  1. 1. Studies on future Mine Countermeasure Vessels (MCMV)

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskap

    Författare :Philip Somehagen; [2023]
    Nyckelord :Concept development; Mine countermeasure vessels; ROV; Sonar; Konceptutveckling; Minjaktsfartyg; ROV; Sonar;

    Sammanfattning : Background Maritime transportation is vital for international trade, and any disruption to this flow can have severe financial and environmental consequences. Ship mines, both old and new, present significant risks as man-made obstacles. LÄS MER

  3. 2. Experiments with Visual Odometry for Hydrobatic Autonomous Underwater Vehicles

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

    Författare :Somnath Balaji Suresh Kumar; [2023]
    Nyckelord :Hydrobatic AUVs; VO; Stonefish; ORB-SLAM2; VISO2; Hydrobatiska AUV:er; VO; Stonefish; ORB-SLAM2; VISO2;

    Sammanfattning : Hydrobatic Autonomous Underwater Vehicles (AUVs) are underactuated robots that can perform agile maneuvers in challenging underwater environments with high efficiency in speed and range. The challenge lies in localizing and navigating these AUVs particularly for performing manipulation tasks because common sensors such as GPS become very unreliable underwater due to their poor accuracy. LÄS MER

  4. 3. Reinforcement Learning for Hydrobatic AUVs

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

    Författare :Grzegorz Woźniak; [2022]
    Nyckelord :Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics; Deep Reinforcement learning; Deep learning; Optimal control; Hydrobatics;

    Sammanfattning : This master thesis focuses on developing a Reinforcement Learning (RL) controller to perform hydrobatic maneuvers on an Autonomous Underwater Vehicle (AUV) successfully. This work also aims to analyze the robustness of the RL controller, as well as provide a comparison between RL algorithms and Proportional Integral Derivative (PID) control. LÄS MER

  5. 4. Monocular Visual Odometry for Autonomous Underwater Navigation : An analysis of learning-based monocular visual odometry approaches in underwater scenarios

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

    Författare :Andrea Caraffa; [2021]
    Nyckelord :Deep Learning; Monocular Visual Odometry; Computer Vision; Autonomous Underwater Navigation; Autonomous Underwater Vehicle; Djupinlärning; Monokulär Visuell Odometri; Datorseende; Autonom Undervattensnavigering; Autonomt Undervattensfordon;

    Sammanfattning : Visual Odometry (VO) is the process of estimating the relative motion of a vehicle by using solely image data gathered from the camera. In underwater environments, VO becomes extremely challenging but valuable since ordinary sensors for on-road localization are usually unpractical in these hostile environments. LÄS MER

  7. 5. Comparison of control strategies for manipulating a Hydrobatic Autonomous Underwater Vehicle

    Master-uppsats, KTH/Mekatronik

    Författare :Chariklia Panteli; [2021]
    Nyckelord :Autonomous Underwater Vehicle; AUV; Gripper; Manipulator; Controlcomparison; Linear Quadratic Regulator; LQR; PID; Model Predictive Controller; MPC; Autonomt undervattensfordon; AUV; Gripper; Manipulator; Kontrolljämförelse; Linjär kvadratisk regulator; LQR; PID; Modell Predictive Controller; MPC;

    Sammanfattning : This master thesis project is focused on the development of an LQR controller and its comparison with other controllers (PID and MPC), in order to successfully control an Autonomous Underwater Vehicle manipulation system. The modelling of the manipulator was performed first in Matlab and later on in Simulink-Simscape. LÄS MER