Search for dissertations about: "kragic"

Showing result 1 - 5 of 33 swedish dissertations containing the word kragic.

  1. 1. Visual Servoing for Manipulation : Robustness and Integration Issues

    Author : Danica Kragic; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datalogi;

    Abstract : .... READ MORE

  2. 2. Intention recognition in human machine collaborative systems

    Author : Daniel Aarno; Danica Kragic; Darius Burschka; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Robotics; Human-machine collaboration; Virtual fixture; hidden Markov model; Machine learning; Artificial intelligence; Computer science; Datavetenskap;

    Abstract : Robotsystem har använts flitigt under de senaste årtiondena för att skapa automationslösningar i ett flertal områden. De flesta nuvarande automationslösningarna är begränsade av att uppgifterna de kan lösa måste vara repetitiva och förutsägbara. READ MORE

  3. 3. Data-Driven Methods for Contact-Rich Manipulation: Control Stability and Data-Efficiency

    Author : Shahbaz Abdul Khader; Danica Kragic; Ludovic Righetti; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Robotic; Skill Learning; Reinforcement Learning; Contact-Rich Manipulation; Computer Science; Datalogi;

    Abstract : Autonomous robots are expected to make a greater presence in the homes and workplaces of human beings. Unlike their industrial counterparts, autonomous robots have to deal with a great deal of uncertainty and lack of structure in their environment. READ MORE

  4. 4. Transfer-Aware Kernels, Priors and Latent Spaces from Simulation to Real Robots

    Author : Rika Antonova; Danica Kragic; Jens Kober; KTH; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Abstract : Consider challenging sim-to-real cases lacking high-fidelity simulators and allowing only 10-20 hardware trials. This work shows that even imprecise simulation can be beneficial if used to build transfer-aware representations. READ MORE

  5. 5. Transfer Learning using low-dimensional Representations in Reinforcement Learning

    Author : Isac Arnekvist; Danica Kragic; Johannes Andreas Stork; Christos Dimitrakakis; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

    Abstract : Successful learning of behaviors in Reinforcement Learning (RL) are often learned tabula rasa, requiring many observations and interactions in the environment. Performing this outside of a simulator, in the real world, often becomes infeasible due to the large amount of interactions needed. READ MORE