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dc.contributor.authorWang, Zhengshuaizh_CN
dc.contributor.authorChao, Feizh_CN
dc.contributor.authorLin, Haixiongzh_CN
dc.contributor.authorJiang, Minzh_CN
dc.contributor.authorZhou, Changlezh_CN
dc.contributor.author晁飞zh_CN
dc.contributor.author江敏zh_CN
dc.contributor.author周昌乐zh_CN
dc.date.accessioned2015-07-22T02:39:29Z
dc.date.available2015-07-22T02:39:29Z
dc.date.issued2013zh_CN
dc.identifier.citation2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013, 2013:581-586zh_CN
dc.identifier.other20141717632771zh_CN
dc.identifier.urihttps://dspace.xmu.edu.cn/handle/2288/86585
dc.descriptionConference Name:2013 IEEE International Conference on Robotics and Biomimetics, ROBIO 2013. Conference Address: Shenzhen, China. Time:December 12, 2013 - December 14, 2013.zh_CN
dc.description.abstractThis paper presents a human-like approach for robot to obtain reaching ability autonomously in three-dimensional environment. The essential elements of the approach are inspired by current findings in neural science research and developmental psychology. By imitating the mechanism of the infant realizing the body induction, the robot system realizes the automatic separation of the mechanical arm and the external environment. We propose a simulated retina visual structure to compress images and improve the robot efficiency. After separating the arm from the external environment, the robot establishes the model of the mechanical arm, and uses the 'Minimal Resource Allocation Neural Network' to implement the robot's learning system. A developmental constraint implemented mechanism is applied to the robot system, so that, the robot adapts to the environment and completes the tasks in dynamic environment step by step. The experiments and simulations demonstrate that the robotic system, by imitating the process of the human development, gradually obtains the reaching ability. ? 2013 IEEE.zh_CN
dc.language.isoen_USzh_CN
dc.publisherIEEE Computer Societyzh_CN
dc.source.urihttp://dx.doi.org/10.1109/ROBIO.2013.6739522zh_CN
dc.subjectBiomimeticszh_CN
dc.subjectRoboticszh_CN
dc.titleA human-like learning approach to developmental robotic reachingzh_CN
dc.typeConferencezh_CN


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