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神经动力学-认知机器人的神经动力学框架:使用在线学习自主生成场景表示和行为序列
NeuralDynamics - A neuro-dynamic framework for cognitive robotics: Autonomous generation of scene representations and behavioral sequences using online learning |
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| 课程网址: |
http://videolectures.net/cogsys2012_schoener_neurodynamic/
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| 主讲教师: |
Gregor Schöner
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| 开课单位: |
波鸿鲁尔大学
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| 开课时间: |
2012-03-14
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| 课程语种: |
英语
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| 中文简介: |
我们醒着的每一刻存在我们知道我们的视觉环境,知道在哪里检查对象,能够达到和处理对象,能够链这样简单的动作序列,通过它我们实现目标,如清理桌子和叠加文件聚集在那里。目前，人类对场景理解和序列生成的心理物理学研究正在进行中。将这些知识综合成对这些能力的全面说明要难得多。在这个项目中，我们开发了一个基于神经的场景理解和序列生成的理论帐户。以神经动力学语言正式表述的数学模型(递归神经网络的时空连续版本)被用于拥有自己的感觉和运动系统的自主认知机器人。机器人的实现为理论提供了关键的现实检验，是启发式的有力来源，揭示了问题迄今为止被忽视的方面，并提供了概念的证明。与此同时，该项目旨在提高认知机器人的自主性。我们最雄心勃勃的理论目标是将学习纳入序列规划和场景感知的各个方面。
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| 课程简介: |
Every moment of our awake existence we are aware of our visual surroundings, know where to look to examine objects, are capable of reaching for and handling objects, are able to chain such simple actions into sequences through which we achieve goals such as cleaning up the desk and stacking up the papers gathered there. Considerable experimental work is currently going on to study the human psychophysics of scene understanding and sequence generation. Synthesis of that knowledge into a comprehensive account for these competences is much harder to come by. In this project we develop a neurally based theoretical account for scene understanding and sequence generation. Mathematically models formalized in the language of neural dynamics, a space-time continuous version of recurrent neural networks, are implemented in autonomous cognitive robots that have their own sensory and motor systems. Robotic implementation provides a critical reality check on the theory and is a potent source of heuristics, uncovering hitherto overlooked aspects of the problem as well as providing a proof of concept. At the same time, the project is aimed to advance cognitive robots toward increased autonomy. Our most ambitious theoretical goal is to include learning into every aspect of sequence planning and scene perception.
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| 关 键 词: |
动作序列; 场景理解和序列; 自主认知机器人; 神经动力学; 自主学习与生成
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| 课程来源: |
视频讲座网
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| 最后编审: |
2019-10-17：cwx
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| 阅读次数: |
70
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