Shared learning system and method based on a cloud platform, sharing platform and method, and medium

Abstract

The invention provides a robot shared learning system based on a cloud platform. The system comprises a private model generation terminal and a cloud fusion computing sharing platform. The private model generation terminal is used for uploading the locally generated private model and the environmental feature information collected for generating the private model to the cloud fusion computing sharing platform. The cloud fusion computing sharing platform comprises a model fusion computing module. The model fusion calculation module is used for combinding the uploaded private model with other robot terminals, a private model generation terminal and / or other private models to generate uploaded environment feature information and merging and calculating the information with a sharing model stored on a cloud sharing computation sharing platform to generate a novel sharing model. The novel sharing model is downloaded and / or studied by other robot terminals, the private model generation modeland / or other private model generation models.

Description

technical field [0001] The invention relates to a robot shared learning system and method, in particular to a cloud platform-based robot shared learning system and method for warehousing and logistics. Background technique [0002] Robot navigation refers to a goal point given to the robot, the robot can reach the goal point without encountering obstacles, and at the same time it should make the path as short as possible. Decision-making model learning for path planning based on reinforcement learning is currently an advanced method. Reinforcement learning is that the agent (Agent) learns in a "trial-and-error" way, and the behavior is guided by rewards obtained through interaction with the environment. The goal is to enable the agent to obtain the maximum reward. Reinforcement learning is different from supervised learning in connectionist learning. , mainly manifested in the reinforcement signal. The reinforcement signal provided by the environment in reinforcement learni...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is that the robot navigation is restricted by the setting of the training environment, the training time is long, and the previous or other robot learning experience cannot be used.

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