An Infant Development-inspired Approach to Robot Hand-eye Coordination
An Infant Development-inspired Approach to Robot Hand-eye Coordination
复制标题
受婴儿发育启发的机器人手眼协调方法
DOI：
10.5772/57555
复制
发表时间：
2014-02-10
影响因子：
2.3
通讯作者：
Zhou, Changle
中科院分区：
文献类型：
--
作者：
Chao, Fei;Lee, Mark H.;Zhou, Changle
针对自主机器人系统中手眼协调问题，提出了一种新的发展学习方法。机器人手眼协调在处理实时环境中起着重要的作用。在该方法下，引入婴儿发育模式来构建我们的机器人学习系统。该方法的工作原理是，首先构建一个类似大脑的计算结构来控制机器人，然后利用婴儿的行为模式来构建手眼协调学习算法。这项工作得到了实验评估的支持，该评估表明，控制系统实施简单，学习方法提供了快速和增量的行为能力学习。
This paper presents a novel developmental learning approach for hand-eye coordination in an autonomous robotic system. Robotic hand-eye coordination plays an important role in dealing with real-time environments. Under the approach, infant developmental patterns are introduced to build our robot's learning system. The method works by first constructing a brain-like computational structure to control the robot, and then by using infant behavioural patterns to build a hand-eye coordination learning algorithm. This work is supported by an experimental evaluation, which shows that the control system is implemented simply, and that the learning approach provides fast and incremental learning of behavioural competence.