Adaptive behavior navigation of a mobile robot
Adaptive behavior navigation of a mobile robot
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DOI：
10.1109/3468.995537
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发表时间：
2002
期刊：
影响因子：
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通讯作者：
E. Casanova;J. García-Bermejo;M. Paul;J. Perán
中科院分区：
文献类型：
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作者：
E. Casanova;J. García-Bermejo;M. Paul;J. Perán
描述了一个神经网络模型的反应行为导航的移动的机器人。根据通过传感器接收的信息，机器人可以引出若干行为之一（例如，停止、避免、漫步、沿墙走）。机器人能够根据传感器信息和学习操作来制定控制策略。强化学习通过调整行为的合格性并确定机器人的线速度和角速度来改善机器人的导航。
Describes a neural network model for the reactive behavioral navigation of a mobile robot. From the information received through the sensors the robot can elicit one of several behaviors (e.g., stop, avoid, stroll, wall following), through a competitive neural network. The robot is able to develop a control strategy depending on sensor information and learning operation. Reinforcement learning improves the navigation of the robot by adapting the eligibility of the behaviors and determining the linear and angular robot velocities.