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A robotic brain scheme: proposal originated by a modular robotic control

机译:机器人脑计划:由模块化机器人控制产生的提议

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摘要

A robot brain scheme has been implemented, based on and controlled by analog circuits and micro-controllers. The modules have been classified as: (a) world signal processing, (b) world signal relevance assessing, (c) pre-motor decisions, (d) motor behavior, and (e) planning and sequencing motor behaviors. There are two types of pre-motor processing: main and world signal tracking. Motor behavior includes all the final motion units. Each of these five classes roughly corresponds to areas in a vertebrate's brain and proved to be an effective robotic brain scheme as they assist in the development of greater complexity in robotic brains and a means to compare different implementations. The scheme stresses the importance of motor behavior modules fed by pre-motor decision modules. The pre-motor decision modules aim the movement while the motor behavior module creates the behavior. Finally, the planning and sequencing modules are imperative implementations in a robotic brain.
机译:基于模拟电路和微控制器并由其控制的机器人脑计划已经实现。这些模块被分类为:(a)世界信号处理,(b)世界信号相关性评估,(c)运动前决策,(d)运动行为,以及(e)规划和排序运动行为。电机前处理有两种类型:主信号跟踪和世界信号跟踪。电机行为包括所有最终运动单位。这五个类别中的每一个大致对应于脊椎动物大脑中的区域,并被证明是一种有效的机器人大脑方案,因为它们有助于在机器人大脑中发展更大的复杂性,并成为比较不同实现方式的一种手段。该方案强调了由运动前决策模块提供的运动行为模块的重要性。运动前决策模块以运动为目标,而运动行为模块创建行为。最后,计划和排序模块是机器人大脑中必不可少的实现。

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