Search for dissertations about: "robot learning from demonstration"
Showing result 1 - 5 of 16 swedish dissertations containing the words robot learning from demonstration.
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1. Robot Task Learning from Human Demonstration
Abstract : 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. READ MORE
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2. Cognitive Interactive Robot Learning
Abstract : 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. READ MORE
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3. Towards Manipulator Learning by Demonstration and Reinforcement Learning
Abstract : 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. READ MORE
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4. Cognition reversed : Robot learning from demonstration
Abstract : 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. READ MORE
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5. Data-Efficient Representation Learning for Grasping and Manipulation
Abstract : 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. READ MORE