Abstract
Fuzzy learning algorithm robot cooperation model is a kind of fuzzy logic, which can be used to control robot cooperation behavior. It is based on the principle that each robot has its own personality characteristics, and considers the characteristics of other robots when making decisions. This method uses these characteristics to make decisions when there are multiple possibilities of action or inaction. This allows for a more flexible response than traditional decision rules, such as those in classical control theory. The main purpose of the project is to create a robot collaboration team, which will be able to solve problems in an effective way. The research also aims to develop an intelligent system that can perform complex tasks and work together as a team. The main challenge is to design such a system so that it can be used in practical applications, especially when the time and resources available for development are limited.
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sponsored by Qing Lan Project, The achievement of the company's horizontal project “Development and research of automatic handling and spraying system for robot visual recognition”.
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Qin, Y., Ouyang, W., Gong, M. (2024). Research on Fuzzy Learning Algorithm Robot Cooperation Model. In: Pei, Y., Ma, H.S., Chan, YW., Jeong, HY. (eds) Proceedings of Innovative Computing 2024, Vol. 3. IC 2024. Lecture Notes in Electrical Engineering, vol 1216. Springer, Singapore. https://doi.org/10.1007/978-981-97-4121-2_23
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DOI: https://doi.org/10.1007/978-981-97-4121-2_23
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