Sökning: "robot learning from demonstration"

Visar resultat 1 - 5 av 16 avhandlingar innehållade orden robot learning from demonstration.

1. 1. Robot Task Learning from Human Demonstration

   Författare :Staffan Ekvall; Danica Kragic; Marcus Vincze; KTH; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Robotics; Machine Learning; Artificial Intelligence; Computer Vision; Programming by Demonstration; Grasp Mappping; Grasp Recognition; Robot Grasping; Planning; Autonomous Robots; Computer science; Datalogi;

   Sammanfattning : Today, most robots used in the industry are preprogrammed and require a welldefined and controlled environment. Reprogramming such robots is often a costly process requiring an expert. By enabling robots to learn tasks from human demonstration, robot installation and task reprogramming are simplified. LÄS MER

3. 2. Cognitive Interactive Robot Learning

   Författare :Benjamin Fonooni; Hellström Thomas; Lars Erik Janlert; Christian Balkenius; Umeå universitet; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Learning from Demonstration; Imitation Learning; Human Robot Interaction; High-Level Behavior Learning; Shared Control; Cognitive Architectures; Cognitive Robotics; Priming; business data processing; administrativ databehandling;

   Sammanfattning : Building general purpose autonomous robots that suit a wide range of user-specified applications, requires a leap from today's task-specific machines to more flexible and general ones. To achieve this goal, one should move from traditional preprogrammed robots to learning robots that easily can acquire new skills. LÄS MER

4. 3. Towards Manipulator Learning by Demonstration and Reinforcement Learning

   Författare :Alexander Skoglund; Örebro universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Manipulation; learning; robot learning from demonstration; programming by demonstration; imitation in robotics.; Computer science; Datavetenskap;

   Sammanfattning : This thesis address how robotic arms, called manipulators, can learn a task demonstrated by a teacher. The concept of showing a robot a task, instead of manually programming it, is appealing since it makes it easier to instruct robots. LÄS MER

5. 4. Cognition reversed : Robot learning from demonstration

   Författare :Erik Billing; Lars Erik Janlert; Thomas Hellström; Tom Ziemke; Umeå universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datavetenskap; Cognitive science; Kognitionsvetenskap; computer and systems sciences; data- och systemvetenskap;

   Sammanfattning : The work presented in this thesis investigates techniques for learning from demonstration (LFD). LFD is a well established approach to robot learning, where a teacher demonstrates a behavior to a robot pupil. This thesis focuses on LFD where a human teacher demonstrates a behavior by controlling the robot via teleoperation. LÄS MER

7. 5. 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