Robots for Learning
نویسندگان
چکیده
منابع مشابه
Q-learning for Robots
Robot learning is a challenging – and somewhat unique – research domain. If a robot behavior is defined as a mapping between situations that occurred in the real world and actions to be accomplished, then the supervised learning of a robot behavior requires a set of representative examples (situation, desired action). In order to be able to gather such learning base, the human operator must hav...
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Unlike intelligent industrial robots which often work in a structured factory setting, intelligent mobile robots must often operate in an unstructured environment cluttered with obstacles and with many possible action paths. However, such machines have many potential applications in medicine, defense, industry and even the home that make their study important. Sensors such as vision are needed....
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Autonomous mobile robots should be able to learn incrementally and adapt to changes in the operating environment during their entire lifetime. This is referred to as continual learning. In this thesis, I propose an approach to continual learning which is based on adaptive state-space quantisation and reinforcement learning. Representational tools for continual learning should be constructive, a...
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A novel skill learning approach is proposed that allows a robot to acquire human-like visuospatial skills for object manipulation tasks. Visuospatial skills are attained by observing spatial relationships among objects through demonstrations. The proposed Visuospatial Skill Learning (VSL) is a goal-based approach that focuses on achieving a desired goal configuration of objects relative to one ...
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Developmental robotics is concerned with the design of algorithms that promote robot adaptation and learning through qualitative growth of behaviour and increasing levels of competence. This paper uses ideas and inspiration from early infant psychology (up to 3 months of age) to examine how robot systems could discover the structure of their local sensory-motor spaces and learn how to coordinat...
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ژورنال
عنوان ژورنال: International Journal of Social Robotics
سال: 2018
ISSN: 1875-4791,1875-4805
DOI: 10.1007/s12369-018-0481-8