Sökning: "Robot Manipulation"

Visar resultat 1 - 5 av 43 avhandlingar innehållade orden Robot Manipulation.

  1. 1. Learning Object Properties From Manipulation for Manipulation

    Författare :Püren Güler; Danica Kragic; Jeremy L. Wyatt; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; robotics; manipulation; object properties; simulation; machine learning; object tracking; active exploration; sensory integration; Computer Science; Datalogi;

    Sammanfattning : The world contains objects with various properties - rigid, granular, liquid, elastic or plastic. As humans, while interacting with the objects, we plan our manipulation by considering their properties. For instance, while holding a rigid object such as a brick, we adapt our grasp based on its centre of mass not to drop it. LÄS MER

  3. 2. Robot Learning for Deformable Object Manipulation Tasks

    Författare :Rita Laezza; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Deformable Object Manipulation; Deformable Linear Objects; Robotics; Reinforcement Learning; Machine Learning; Robot Learning;

    Sammanfattning : Deformable Object Manipulation (DOM) is a challenging problem in robotics. Until recently, there has been limited research on the subject, with most robotic manipulation methods being developed with rigid objects in mind. LÄS MER

  4. 3. Data-Efficient Representation Learning for Grasping and Manipulation

    Författare :Ahmet Ercan Tekden; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Learning from Demonstration; Generative Modeling; Neural Fields; Robot Learning; Data-efficient Representation Learning; Grasping; Robot Manipulation;

    Sammanfattning : General-purpose robotics require adaptability to environmental variations and, therefore, need effective representations for programming them. A common way to acquire such representations is through machine learning. Machine learning has shown great potential in computer vision, natural language processing, reinforcement learning, and robotics. LÄS MER

  5. 4. Robot Learning for Manipulation of Deformable Linear Objects

    Författare :Rita Laezza; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Deformable Linear Objects.; Reinforcement Learning; Robotics; Deformable Object Manipulation; Robot Learning;

    Sammanfattning : Deformable Object Manipulation (DOM) is a challenging problem in robotics. Until recently there has been limited research on the subject, with most robotic manipulation methods being developed for rigid objects. LÄS MER

  7. 5. Robot Manipulation Planning Among Obstacles: Grasping, Placing and Rearranging

    Författare :Joshua Alexander Haustein; Danica Kragic; Kostas E. Bekris; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; robot manipulation planning; sampling-based planning; fingertip grasp planning; placement planning; rearrangement planning; Computer Science; Datalogi;

    Sammanfattning : This thesis presents planning algorithms for three different robot manipulation tasks: fingertip grasping, object placing and rearranging. Herein, we place special attention on addressing these tasks in the presence of obstacles. LÄS MER