Sökning: "manipulation"

Visar resultat 21 - 25 av 562 avhandlingar innehållade ordet manipulation.

  1. 21. Path-Connectivity of the Free Space : Caging and Path Existence

    Författare :Anastasiia Varava; Danica Kragic; Alberto Rodriguez; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotics; Manipulation; Caging; Computer Science; Datalogi;

    Sammanfattning : The notion of configuration space is a tool that allows to reason aboutan object’s mobility in a unified manner. The problem of verifying path non-existence can be considered as dual to path planning. LÄS MER

  3. 22. Safety Aspects of Data-Driven Control in Contact-Rich Manipulation

    Författare :Ioanna Mitsioni; Danica Kragic; Maximo Roa; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotic manipulation; model learning;

    Sammanfattning : A crucial step towards robot autonomy-in environments other than the strictly regulated industrial ones-is to create controllers capable of adapting to diverse conditions. Human-centric environments are filled with a plethora of objects with very distinct properties that can still be manipulated without the need to painstakingly model the interaction dynamics. LÄS MER

  4. 23. Representation and Learning for Robotic Grasping, Caging, and Planning

    Författare :Johannes Andreas Stork; Danica Kragic; Wolfram Burgard; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Grasping; Caging; Planning; State Representation; Optimization; Topology; Manipulation; Reinforcement Learning; Datalogi; Computer Science;

    Sammanfattning : Robots need to grasp, handle, and manipulate objects, navigate their environment, and understand the state of the world around them. Like all artificial intelligence agents, they have to make predictions, formulate goals, reason about actions, and make plans. LÄS MER

  5. 24. Holistic Grasping: Affordances, Grasp Semantics, Task Constraints

    Författare :Martin Hjelm; Danica Kragic; Markus Vincze; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; robotics; robotic grasping; grasping; cognition; embodied cognition; computer vision; machine learning; artificial intelligence; AI; Gaussian process; Gaussian process latent variable model; GPLVM; 3D vision; point cloud features; robotik; manipulation; datorseende; maskininlärning; artificiell intelligens; kognition; Computer Science; Datalogi;

    Sammanfattning : Most of us perform grasping actions over a thousand times per day without giving it much consideration, be it from driving to drinking coffee. Learning robots the same ease when it comes to grasping has been a goal for the robotics research community for decades. LÄS MER

  7. 25. Multi-Modal Scene Understanding for Robotic Grasping

    Författare :Jeannette Bohg; Danica Kragic; Michael Beetz; KTH; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotics; Grasping; Manipulation; Computer Vision; Machine Learning;

    Sammanfattning : Current robotics research is largely driven by the vision of creatingan intelligent being that can perform dangerous, difficult orunpopular tasks. These can for example be exploring the surface of planet mars or the bottomof the ocean, maintaining a furnace or assembling a car. LÄS MER