Sökning: "Artificial intelligens"

Visar resultat 26 - 30 av 67 avhandlingar innehållade orden Artificial intelligens.

1. 26. Synergistic Strategies in Multi-Robot Systems: Exploring Task Assignment and Multi-Agent Pathfinding

   Författare :Yifan Bai; George Nikolakopoulos; Tomi Westerlund; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Autonomous robots; Multi-robot systems; Task assignment; Multi-agent path-finding; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : Robots are increasingly utilized in industry for their capability to perform repetitive,complex tasks in environments unsuitable for humans. This surge in robotic applicationshas spurred research into Multi-Robot Systems (MRS), which aim to tackle complex tasksrequiring collaboration among multiple robots, thereby boosting overall efficiency. LÄS MER

3. 27. Towards 5G-Enabled Intelligent Machines

   Författare :Gerasimos Damigos; George Nikolakopoulos; Johan Eker; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; UAV; 5G; QoS; offloading; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This thesis introduces a novel framework for enabling intelligent machines and robots with the fifth-generation (5G) cellular network technology. Autonomous robots, such as Unmanned Aerial Vehicles (UAVs), Autonomous Guided Vehicles (AGVs), and more, can notably benefit from multi-agent collaboration, human supervision, or operation guidance, as well as from external computational units such as cloud edge servers, in all of which a framework to utilize reliable communication infrastructure is needed. LÄS MER

4. 28. Risk Aware Path Planning and Dynamic Obstacle Avoidance towards Enabling Safe Robotic Missions

   Författare :Samuel Karlsson; George Nikolakopoulos; Georgia Chalvatzaki; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotic; Path planning; Obstacle avoidanc; Robotic missions; licenti thesis; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This compilation thesis presents two main contributions in path planning and obstacle avoidance, as well as an integration of the proposed modules with other frameworks to enable resilient robotic missions in complex environments.In general, through different types of robotic missions it is important to have a collision tolerant and reliable system, both regarding potential risks from collisions with dynamic and static obstacles, but also to secure the overall mission success. LÄS MER

5. 29. One Image, Many Insights: A Synergistic Approach Towards Enabling Autonomous Visual Inspection

   Författare :Vignesh Kottayam Viswanathan; George Nikolakopoulos; Dimitrios Kanoulas; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Unified autonomy; aerial robotics; space robotics; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : Visual inspection in autonomous robotics is a task in which autonomous agents are required to gather visual information of objects of interest, in a manner that ensures safety, efficiency and comprehensive coverage. It is, therefore, crucial for identifying key landmarks, detecting cracks or defects, or reconstructing the observed object for detailed analysis. LÄS MER

7. 30. On the utilization of Nonlinear MPC for Unmanned Aerial Vehicle Path Planning

   Författare :Björn Lindqvist; George Nikolakopoulos; Dimos Dimarogonas; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Unmanned Aerial Vehicles; Obstacle Avoidance; Collision Avoidance; Nonlinear MPC; Model Predictive Control; Multi-agent Systems; Dynamic Obstacles; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This compilation thesis presents an overarching framework on the utilization of nonlinear model predictive control(NMPC) for various applications in the context of Unmanned Aerial Vehicle (UAV) path planning and collision avoidance. Fast and novel optimization algorithms allow for NMPC formulations with high runtime requirement, as those posed by controlling UAVs, to also have sufficiently large prediction horizons as to in an efficient manner integrate collision avoidance in the form of set-exclusion constraints that constrain the available position-space of the robot. LÄS MER