Early-stage vision of composite scenes for spatial learning and navigation

机译：用于空间学习和导航的复合场景的早期视觉

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Developmental theories suggest that cognitive agents develop through an initial sensorimotor stage during which they learn sequential and spatial regularities. We implemented these views in a computer simulation. Following its intrinsic motivations, the agent autonomously learns sensorimotor contingencies and discovers permanent landmarks by which to navigate in the environment. Besides illustrating developmental theories, this model suggests new ways to implement vision and navigation in artificial systems. Specifically, we coupled a sequence learning mechanism with a visual system capable of interpreting composite visual scenes by inhibiting items that are irrelevant to the agent's current motivational state.

机译：发展理论表明，认知剂通过初始感觉器阶段开发，在此期间他们学习顺序和空间规律。我们在计算机模拟中实现了这些视图。在其内在的动机之后，代理商自主地学习SensionImotor突发事件，并发现在环境中导航的永久地标。除了说明发展理论之外，该模型还表明了在人工系统中实现视觉和导航的新方法。具体地，我们耦合具有能够通过抑制与代理的当前动机状态无关的物品来解释复合视觉场景的视觉系统的序列学习机制。

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《2011 IEEE International Conference on Development and Learning》|2011年|p.1-6|共6页
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Georgeon Olivier L.; Marshall James B.; Ronot Pierre-Yves R.;
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中图分类机器人;
关键词
Cognitive development; Intrinsic motivation; Navigation; Visuo-spatial learning;

机译：认知发展;内在动机;导航;视觉空间学习;

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2. Scene themes, natural scene structures, and spatial statistics for scene vision [J] . Zhiyong Yang, Jinhua Xu Journal of vision . 2015,第12期

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3. Multi goals and multi scenes visual mapless navigation in indoor using meta-learning and scene priors [J] . Li Fei, Guo Chi, Luo Binhan, Neurocomputing . 2021,第Auga18期

机译：多目标和多场景在室内使用元学习和场景前瞻
4. Early-stage vision of composite scenes for spatial learning and navigation [C] . Georgeon Olivier L., Marshall James B., Ronot Pierre-Yves R. IEEE International Conference on Development and Learning . 2011

机译：空间学习和航行的复合场景的早期舞会
5. Similar Patterns of Spatial Learning as a Result of Individual Differences in Navigational Strategy and Map Use Attributed to the Role of Scene-Independent Relational Processing [D] . Gafni, David Daniel Mosheh. 2020

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6. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning [O] . Xinyu Zhang, Chengbo Wang, Yuanchang Liu, 2019

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7. Decision-Making for the Autonomous Navigation of Maritime Autonomous Surface Ships Based on Scene Division and Deep Reinforcement Learning [O] . 2019

机译：基于场景师和深增强学习的海上自主地面船舶自主导航的决策

Early-stage vision of composite scenes for spatial learning and navigation

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