DBpedia – Linked Data Fragments

Matches in DBpedia 2016-04 for { <http://dbpedia.org/resource/Robot_learning> ?p ?o }

• Robot_learning abstract "Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms. The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties (e.g. high-dimensionality, real time constraints for collecting data and learning) and opportunities for guiding the learning process (e.g. sensorimotor synergies, motor primitives). Example of skills that are targeted by learning algorithms include sensorimotor skills such as locomotion, grasping, active object categorization, as well as interactive skills such as joint manipulation of an object with a human peer, and linguistic skills such as the grounded and situated meaning of human language. Learning can happen either through autonomous self-exploration or through guidance from a human teacher, like for example in robot learning by imitation.Robot learning can be closely related to adaptive control, reinforcement learning as well as developmental robotics which considers the problem of autonomous lifelong acquisition of repertoires of skills.While machine learning is frequently used by computer vision algorithms employed in the context of robotics, these applications are usually not referred to as \"robot learning\".".
• Robot_learning wikiPageExternalLink flowers.inria.Fr.
• Robot_learning wikiPageExternalLink humanoid.fy.chalmers.se.
• Robot_learning wikiPageExternalLink lasa.epfl.ch.
• Robot_learning wikiPageExternalLink learning-robots.de.
• Robot_learning wikiPageExternalLink robot-learning.de.
• Robot_learning wikiPageExternalLink www-clmc.usc.edu.
• Robot_learning wikiPageExternalLink index.php.
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• Robot_learning wikiPageExternalLink ~rll.
• Robot_learning wikiPageExternalLink cs4758.
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• Robot_learning wikiPageExternalLink cogbotlab.html.
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• Robot_learning wikiPageExternalLink www.nimbro.net.
• Robot_learning wikiPageExternalLink www.plymouth.ac.uk.
• Robot_learning wikiPageExternalLink www.skilligent.com.
• Robot_learning wikiPageExternalLink CRNS.
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• Robot_learning wikiPageWikiLink Adaptive_control.
• Robot_learning wikiPageWikiLink Carnegie_Mellon_University.
• Robot_learning wikiPageWikiLink Category:Machine_learning.
• Robot_learning wikiPageWikiLink Category:Robot_control.
• Robot_learning wikiPageWikiLink Chalmers_University_of_Technology.
• Robot_learning wikiPageWikiLink Cognitive_robotics.
• Robot_learning wikiPageWikiLink Computer_vision.
• Robot_learning wikiPageWikiLink Cornell_University.
• Robot_learning wikiPageWikiLink Dalle_Molle_Institute_for_Artificial_Intelligence_Research.
• Robot_learning wikiPageWikiLink Delft_University_of_Technology.
• Robot_learning wikiPageWikiLink Developmental_robotics.
• Robot_learning wikiPageWikiLink Evolutionary_robotics.
• Robot_learning wikiPageWikiLink Institute_of_Robotics_in_Scandinavia_AB.
• Robot_learning wikiPageWikiLink Istituto_Italiano_di_Tecnologia.
• Robot_learning wikiPageWikiLink Jürgen_Schmidhuber.
• Robot_learning wikiPageWikiLink Machine_learning.
• Robot_learning wikiPageWikiLink Peter_Nordin.
• Robot_learning wikiPageWikiLink Reinforcement_learning.
• Robot_learning wikiPageWikiLink Robotics.
• Robot_learning wikiPageWikiLink Technische_Universität_München.
• Robot_learning wikiPageWikiLink University_of_Bonn.
• Robot_learning wikiPageWikiLink University_of_Massachusetts_Amherst.
• Robot_learning wikiPageWikiLinkText "Robot learning".
• Robot_learning wikiPageWikiLinkText "robot learning".
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• Robot_learning subject Category:Machine_learning.
• Robot_learning subject Category:Robot_control.
• Robot_learning hypernym Field.
• Robot_learning comment "Robot learning is a research field at the intersection of machine learning and robotics. It studies techniques allowing a robot to acquire novel skills or adapt to its environment through learning algorithms. The embodiment of the robot, situated in a physical embedding, provides at the same time specific difficulties (e.g. high-dimensionality, real time constraints for collecting data and learning) and opportunities for guiding the learning process (e.g.".
• Robot_learning label "Robot learning".
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• Robot_learning homepage robot-learning.
• Robot_learning isPrimaryTopicOf Robot_learning.