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Activity Theory Based Model for Robotics Tasks Learning and Functional Reflection

Mohamad El Maouch, Shuo Wang, Xiaosong Gai, Yinghao Cai, Tao Lu, Marwa Saab

发表年份
2019
引用次数
5

摘要

Based on the Cultural Historical Activity Theory (CHAT), the paper presents tasks learning robotics model. The model focuses on loop based learning, the abstract activity structure, and contradictions based functional learning through meaning emergence. Furthermore, the model introduces the "intellectual emotion" to anchor the components of learned tasks. Moreover, by proposing a preliminary experiment, the model had been discussed regarding specific robotics abilities such as functional perception and meaning emergence, abstraction and generalization, personification and interaction, including future work.

关键词

RoboticsArtificial intelligenceAbstractionGeneralizationComputer scienceMeaning (existential)PerceptionCognitive scienceCognitive roboticsRobot

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