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Neuron network training system for Robot responding intelligently to input light stimuli (notice of removal)

机译：用于机器人的神经元网络培训系统智能地响应输入光刺激（移除通知）

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Baoping Xiao; Chang Xu; Lijun Xu; Qinhua Luo;
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年度 2007
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1. Heterogeneous synaptic inputs from the ventrolateral periaqueductal gray matter to neurons responding to somatosensory stimuli in the rostral ventromedial medulla of rats. [J] . Odeh F, Antal M, Zagon A Brain research . 2003 ,第2期

机译：从腹外侧导水管周围灰质到神经元的异质突触输入，该神经元响应于大鼠的延髓腹侧延髓中的体感刺激。
2. Brain network involved in visual processing of movement stimuli used in upper limb robotic training: an fMRI study [J] . Federico Nocchi, Simone Gazzellini, Carmela Grisolia, Journal of NeuroEngineering Rehabilitation . 2012 ,第1期

机译：大脑网络参与上肢机器人训练中使用的运动刺激的视觉处理：一项功能磁共振成像研究
3. Guest Editorial Embedded and Networked Systems for Intelligent Vehicles and Robots [J] . Lo Bello Lucia, Mubeen Saad, Saponara Sergio, IEEE transactions on industrial informatics . 2019 ,第2期

机译：客座社论智能车辆和机器人的嵌入式和联网系统
4. Neuron network training system for Robot responding intelligently to input light stimuli [C] . Xiao Baoping, Xu Chang, Xu Lijun, International Symposium on Advanced Optical Manufacturing and Testing Technologies; 20070708-12; Chengdu(CN) . 2007

机译：机器人对输入光刺激做出智能响应的神经元网络训练系统
5. Intelligent perception in virtual sensor networks and space robotics [D] . Qureshi, Faisal Zubair 2007

机译：虚拟传感器网络和太空机器人中的智能感知
6. Brain network involved in visual processing of movement stimuli used in upper limb robotic training: an fMRI study [O] . Federico Nocchi, Simone Gazzellini, Carmela Grisolia, 2012

机译：脑网络参与上肢机器人训练中使用的运动刺激的视觉处理：一项功能磁共振成像研究
7. Development of a Bio-inspired Vision System for Mobile Micro-robots:In this paper, we present a new bio-inspired vision system for mobile micro-robots. The processing method takes inspiration from vision of locusts in detecting the fast approaching objects. Research suggested that locusts use wide-field visual neuron called the lobula giant movement detector to respond to imminent collisions. We employed the locusts' vision mechanism to motion control of a mobile robot. The selected image processing method is implemented on a developed extension module using a low-cost and fast ARM processor. The vision module is placed on top of a micro-robot to control its trajectory and to avoid obstacles. The observed results from several performed experiments demonstrated that the developed extension module and the inspired vision system are feasible to employ as a vision module for obstacle avoidance and motion control. [O] . Hu, Cheng, Arvin, Farshad, Yue, Shigang 2014

机译：开发用于移动微型机器人的生物启发视觉系统：在本文中，我们提出了一种用于移动微型机器人的新型生物启发视觉系统。该处理方法从检测快速接近物体的蝗虫视觉中获取灵感。研究表明，蝗虫使用称为小叶巨型运动探测器的宽视野神经元来应对即将发生的碰撞。我们采用蝗虫的视觉机制来控制移动机器人。所选择的图像处理方法使用低成本且快速的aRm处理器在开发的扩展模块上实现。视觉模块放置在微型机器人的顶部以控制其轨迹并避开障碍物。几次进行的实验观察到的结果表明，开发的扩展模块和灵感视觉系统可用作避障和运动控制的视觉模块。
8. Intelligent control of robotic arm/hand systems for the NASA EVA retriever using neural networks [R] . Mclauchlan, Robert A. 1989

机译：使用神经网络智能控制Nasa EVa检索器的机器人手臂/手系统

Neuron network training system for Robot responding intelligently to input light stimuli (notice of removal)

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