Sökning: "artificial potential fields"

Visar resultat 1 - 5 av 56 uppsatser innehållade orden artificial potential fields.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

    Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. Can AI perform the work of human designers? : A qualitative study on the impact of AI on digital design professions.

    Kandidat-uppsats, Jönköping University/JTH, Avdelningen för datateknik och informatik

    Författare :Julia Forsgren; Hanna Schröder; [2023]
    Nyckelord :Graphic design; Digital Design professions; Artificial intelligence AI ;

    Sammanfattning : Numerous facets of society have undergone major change as a result of the quick development of technology. Artificial Intelligence (AI) has established itself as a particularly remarkable and controversial breakthrough among the countless technical advancements, and is influencing numerous different industries. LÄS MER

  4. 3. Vem eller vad kan hållas straffrättsligt ansvarig för ett självkörande fordon? : En analys av gällande rätt och föreslagen lagstiftning i Sverige

    Uppsats för yrkesexamina på avancerad nivå, Stockholms universitet/Juridiska institutionen

    Författare :Petri Dahlström; [2023]
    Nyckelord :Self-driving; autonomous; automated; automatic; AV; vehicles; cars; artificial intelligence; AI; machine learning; electronic person; criminal liability; Självkörande; autonoma; automatiserade; artificiell intelligens; AI; maskininlärning; elektronisk person; fordon; bilar; straffrättsligt ansvar; ansvarsbedömning;

    Sammanfattning : The last decade has seen a rapid advancement in the fields of artificial intelligence (AI) and automation, with terms such as machine learning, deep learning and algorithms finding their way into everyday conversations. The usage of AI is evergrowing and present in many areas of life such as health care, financial services, and social media interactions. LÄS MER

  5. 4. Using Quality Diversity in Genetic Programming to Improve Automatic Learning of Behaviour Trees

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

    Författare :Alexander Willemsen; [2023]
    Nyckelord :Behaviour Trees; Genetic Programming; Quality Diversity; Gedragsbomen; Genetische Programmering; Kwaliteitsdiversiteit; Beteendeträd; Genetisk Programmering; Kvalitetsmångfald;

    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

  7. 5. Technology Acceptance for AI implementations : A case study in the Defense Industry about 3D Generative Models

    Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

    Författare :Michael Arenander; [2023]
    Nyckelord :Technology Acceptance; Artificial Intelligence; Machine Learning; 3D Generative Models; Innovation; Teknisk Acceptans; Artificiell Intelligens; Maskininlärning; 3D Generativa Modeller; Innovation;

    Sammanfattning : Advancements in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) has emerged into 3D object creation processes through the rise of 3D Generative Adversarial Networks (3D GAN). These networks contain 3D generative models capable of analyzing and constructing 3D objects. LÄS MER