Sökning: "Thomas Hellström"

Visar resultat 6 - 10 av 13 avhandlingar innehållade orden Thomas Hellström.

  1. 6. Unmanned operation of load-haul-dump vehicles in mining environments

    Författare :Johan Larsson; Alessandro Saffiotti; Thomas Hellström; Örebro universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer and Systems Science; Datavetenskap;

    Sammanfattning : Underground mines typically do not represent the best working conditions for humans, and many mining companies have the intent to remove all humans from the ore extraction areas. To achieve this goal automation of the mining machinery is required. LÄS MER

  3. 7. Object Detection and Recognition in Unstructured Outdoor Environments

    Författare :Ahmad Ostovar; Thomas Hellström; Ola Ringdahl; Mårten Björkman; Umeå universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer vision; Deep Learning; Harvesting Robots; Automatic Detection and Recognition; Computer Science; datalogi;

    Sammanfattning : Computer vision and machine learning based systems are often developed to replace humans in harsh, dangerous, or tedious situations, as well as to reduce the required time to accomplish a task. Another goal is to increase performance by introducing automation to tasks such as inspections in manufacturing applications, sorting timber during harvesting, surveillance, fruit grading, yield prediction, and harvesting operations. LÄS MER

  4. 8. Computational models for intent recognition in robotic systems

    Författare :Michele Persiani; Thomas Hellström; Sven Magg; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Intent Recognition; Robotics; Plan Recognition; Speech; Affordances; Computer Science; datalogi;

    Sammanfattning : The ability to infer and mediate intentions has been recognized as a crucial task in recent robotics research, where it is agreed that robots are required to be equipped with intentional mechanisms in order to participate in collaborative tasks with humans.Reasoning about - or rather, perceiving - intentions enables robots to infer what other agents are doing, to communicate what are their plans, or to take proactive decisions. LÄS MER

  5. 9. Expressing and recognizing intentions

    Författare :Michele Persiani; Thomas Hellström; Ola Ringdahl; Felipe Meneguzzi; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; agent; model; plan; action; human-robot interaction; robot; mirror agent model; intention; recognition; interpretable behavior; artificial intelligence; human-computer interaction; människa-datorinteraktion; Computer Science; datalogi;

    Sammanfattning : With the advancement of Artificial Intelligence, intelligent computer programs known as agents are coming increasingly close to the life of human beings. In an optimistic view, predictions tell us that agents will be governing many machines such as phones, robots and cars. LÄS MER

  7. 10. Object Classification and Image Labeling using RGB-Depth Information

    Författare :Mostafa Pordel; Thomas Hellström; Ulrik Söderström; Umeå universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY;

    Sammanfattning : This thesis is part of research for the vision systems of four robots in the EU funded project, CROPS[l], where the robots should harvest apples, sweet peppers and grapes, and explore forests. The whole process of designing such a system, including the software architecture, creation of the image database, image labeling and object detection, is presented. LÄS MER