Sökning: "Ville Kyrki"

Hittade 3 avhandlingar innehållade orden Ville Kyrki.

1. 1. Data-Efficient Reinforcement and Transfer Learning in Robotics

   Författare :Xi Chen; Patric Jensfelt; Ville Kyrki; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Computer Science; Datalogi;

   Sammanfattning : In the past few years, deep reinforcement learning (RL) has shown great potential in learning action selection policies for solving different tasks.Despite its impressive success in games, several challenges remain, such as designing appropriate reward functions, collecting large amounts of interactive data, and dealing with unseen cases, which make it difficult to apply RL algorithms to real-world robotics tasks. LÄS MER

3. 2. Sensorimotor Robot Policy Training using Reinforcement Learning

   Författare :Ali Ghadirzadeh; Mårten Björkman; Danica Kragic; Atsuto Maki; Ville Kyrki; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Reinforcement Learning; Artificial Intelligence; Robot Learning; Sensorimotor; Policy Training; Computer Science; Datalogi;

   Sammanfattning : Robots are becoming more ubiquitous in our society and taking over many tasks that were previously considered as human hallmarks. Many of these tasks, e.g. LÄS MER

4. 3. Advancing Modeling and Tracking of Deformable Linear Objects for Real-World Applications

   Författare :Yuxuan Yang; Todor Stoyanov; Johannes A Stork; Ville Kyrki; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Deformable Linear Object; Model Learning; Model-based Control; Tracking; Robustness;

   Sammanfattning : Deformable linear objects (DLOs), such as cables, wires, ropes, and sutures, are important components in various applications in robotics. Although automating DLO manipulation tasks through robot deployment can offer benefits in terms of cost reduction and increased efficiency, it presents difficult challenges. LÄS MER