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本文引用的文献

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Design principles of a human mimetic humanoid: Humanoid platform to study human intelligence and internal body system.人类仿生学设计原则：研究人类智能和内部身体系统的人形平台。
Sci Robot. 2017 Dec 20;2(13). doi: 10.1126/scirobotics.aaq0899.
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Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators.物理人机协作：机器人系统、学习方法、协作策略、传感器和执行器。
IEEE Trans Cybern. 2021 Apr;51(4):1888-1901. doi: 10.1109/TCYB.2019.2947532. Epub 2021 Mar 17.
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A Novel Predictive-Coding-Inspired Variational RNN Model for Online Prediction and Recognition.一种基于新型预测编码的变分 RNN 模型，用于在线预测和识别。
Neural Comput. 2019 Nov;31(11):2025-2074. doi: 10.1162/neco_a_01228. Epub 2019 Sep 16.
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Continual lifelong learning with neural networks: A review.神经网络的持续终身学习：综述。
Neural Netw. 2019 May;113:54-71. doi: 10.1016/j.neunet.2019.01.012. Epub 2019 Feb 6.
5
Intrinsic motivation and mental replay enable efficient online adaptation in stochastic recurrent networks.内在动机和心理重演使随机递归网络能够在在线环境中高效适应。
Neural Netw. 2019 Jan;109:67-80. doi: 10.1016/j.neunet.2018.10.005. Epub 2018 Oct 22.
6
Social Cognition for Human-Robot Symbiosis-Challenges and Building Blocks.人机共生的社会认知——挑战与基石
Front Neurorobot. 2018 Jul 11;12:34. doi: 10.3389/fnbot.2018.00034. eCollection 2018.
7
Planning and navigation as active inference.作为主动推理的规划与导航
Biol Cybern. 2018 Aug;112(4):323-343. doi: 10.1007/s00422-018-0753-2. Epub 2018 Mar 23.
8
Intrinsic motivations drive learning of eye movements: an experiment with human adults.内在动机驱动眼动学习：一项针对成年人的实验。
PLoS One. 2015 Mar 16;10(3):e0118705. doi: 10.1371/journal.pone.0118705. eCollection 2015.
9
The effects of task difficulty, novelty and the size of the search space on intrinsically motivated exploration.任务难度、新颖性和搜索空间大小对内在动机探索的影响。
Front Neurosci. 2014 Oct 14;8:317. doi: 10.3389/fnins.2014.00317. eCollection 2014.
10
Intrinsic motivations and open-ended development in animals, humans, and robots: an overview.动物、人类和机器人的内在动机与开放式发展：综述
Front Psychol. 2014 Sep 9;5:985. doi: 10.3389/fpsyg.2014.00985. eCollection 2014.

Intrinsic motivation learning for real robot applications.

作者信息

Rayyes Rania

机构信息

Institut für Fördertechnik und Logistiksysteme, Karlsruher Institut für Technologie, Karlsruhe, Germany.

出版信息

Front Robot AI. 2023 Feb 10;10:1102438. doi: 10.3389/frobt.2023.1102438. eCollection 2023.

DOI:10.3389/frobt.2023.1102438
PMID:36845331
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9950409/
Abstract
摘要