Sökning: "Robotic missions"

Visar resultat 1 - 5 av 22 avhandlingar innehållade orden Robotic missions.

1. 1. 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

3. 2. On Cooperative Surveillance, Online Trajectory Planning and Observer Based Control

   Författare :David A. Anisi; Xiaoming Hu; Randal Beard; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Surveillance Missions; Minimum-Time Surveillance; Unmanned Ground Vehicles; Connectivity Constraints; Combinatorial Optimization; Computational Optimal Control; Receding Horizon Control; Mission Uncertainty; Safety; Task Completion; Adaptive Grid Methods; Missile Guidance; Nonlinear Observer Design; Active Observers; Non--uniformly Observable Systems; Mobile Robotic Systems; Intrinsic Observers; Differential Geometric Methods; Euler-Lagrange Systems; Contraction Analysis.; Optimization; systems theory; Optimeringslära; systemteori; Applied mathematics; Tillämpad matematik;

   Sammanfattning : The main body of this thesis consists of six appended papers. In the  first two, different  cooperative surveillance problems are considered. The second two consider different aspects of the trajectory planning problem, while the last two deal with observer design for mobile robotic and Euler-Lagrange systems respectively. LÄS MER

4. 3. Supporting the migration towards model-driven robotic systems

   Författare :Razan Ghzouli; Chalmers tekniska högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; empirical research; property specification; model-driven engineering; feature models; behavior trees;

   Sammanfattning : Robots are increasingly deployed to perform every-day tasks. It is crucial to implement reliable and reusable systems to reduce development effort. The complexity of robotic systems requires the collaboration of experts from different backgrounds. LÄS MER

5. 4. On Visual Perception for an Aerial Robotic Worker

   Författare :Christoforos Kanellakis; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Reglerteknik; Control Engineering;

   Sammanfattning : Micro Aerial Vehicles and especially multi rotors are gaining more and more attention for accomplishing complex tasks, considering their simple mechanical design and their versatile movement. MAVs are ideal candidates to perform tasks autonomously, to work safely in close proximity and in collaboration with humans, and to operate safely and effectively in natural human environments, like infrastructure inspection-maintenance, underground mine operations and surveillance missions. LÄS MER

7. 5. Towards Enabling the Next Generation of Edge Controlled Robotic Systems

   Författare :Achilleas Santi Seisa; George Nikolakopoulos; Shahab Heshmati-Alamdari; Luleå tekniska universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Edge Robotics; Edge Computing; Robotics; Robotics and Artificial Intelligence; Robotik och artificiell intelligens;

   Sammanfattning : This thesis introduces a novel framework for edge robotics, enabling the advancement of edge-connected and controlled robots. Autonomous robots, such as Unmanned Aerial Vehicles (UAVs), generate vast amounts of multi-sensor data and rely on complex algorithms. LÄS MER