Sökning: "underwater vehicle thesis"
Visar resultat 1 - 5 av 35 uppsatser innehållade orden underwater vehicle thesis.
1. Robust light source detection for AUV docking
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : For Autonomous Underwater Vehicles (AUVs) to be able to conduct longterm surveys, the ability to return to a docking station for maintenance and recharging is crucial. A dynamic docking system where a slowly moving submarine acts as the docking station provides increased hydrodynamic control and reduces the impact of environmental disturbances. LÄS MER
2. RECOMMENDATIONS FOR A DEPENDABLE ROV SYSTEM FOR SWEDISH MARITIME RESEARCH
Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : A Remotely Operated underwater Vehicle (ROV) faces many problems regarding dependability and most issues come during launch and recovery. The thesis looks at finding what dependability aspects shall be considered when developing a modular ROV to come up with recommendations for a system, together with a more reliable method of launching and recovering ROV’s. LÄS MER
3. Blind Acoustic Feedback Cancellation for an AUV
Master-uppsats, Linköpings universitet/ReglerteknikSammanfattning : SAAB has developed an autonomous underwater vehicle that can mimic a conventional submarine for military fleets to exercise anti-submarine warfare. The AUV actively emits amplified versions of received sonar pulses to create the illusion of being a larger object. LÄS MER
4. Underneath the Surface : Threat modeling and penetration testing of a submarine robot
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Connected devices have become an integral part of life in modern society. In the industry, several tasks have been automatized and are now performed by robots, a development that is called Industry 4.0. LÄS MER
5. Reinforcement Learning for Hydrobatic AUVs
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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