Sökning: "automatiskt lager"
Visar resultat 1 - 5 av 21 uppsatser innehållade orden automatiskt lager.
1. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : One of the main purposes of the fields of Robotics and Artificial Intelligence is to develop solutions that can autonomously solve problems. An important part of this is synthesising behaviours of robots. Behaviour Trees are a tree structure that enables combining existing lower level behaviours into a high level behaviour through task switching. LÄS MER
2. Warehouse layout for producing industry with separate production points
Kandidat-uppsats, Linköpings universitet/Kommunikations- och transportsystem; Linköpings universitet/Tekniska fakultetenSammanfattning : Studien genomfördes på BUBS Godis och avser att utvärdera hur en byggnation av en ytterligare djuplagring vid den nya produktionsavdelningen påverkar lagerarbetarnas utnyttjandegrad och tiden som används för att transportera färdigvaror från båda produktionsavdelningarna. För att besvara syftet gjordes en simuleringsmodell i Arena Simulation Software. LÄS MER
3. Design and Evaluation of a Novel Conveyor Utilizing a Screw Mechanism to Move Objects With Integrated Racks
Master-uppsats, KTH/MekatronikSammanfattning : Intralogistics, or material handling, traditionally use roller or chain conveyors to moveo bjects and goods in factories and warehouses. One negative aspect of the traditional types of conveyors is that they are expensive, as they are comprised of many moving parts. LÄS MER
4. Development of Neural Networks Using Deterministic Transforms
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Deep neural networks have been a leading research topic within the machine learning field for the past few years. The introduction of graphical processing units (GPUs) and hardware advances made possible the training of deep neural networks. Previously the training procedure was impossible due to the huge amount of training samples required. LÄS MER
5. Investigating minimal Convolution Neural Networks (CNNs) for realtime embedded eye feature detection
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : With the rapid rise of neural networks, many tasks that used to be difficult to complete in traditional methods can now be solved well, especially in the computer vision field. However, as the tasks we have to solve have become more and more complex, the neural networks we use are becoming deeper and larger. LÄS MER