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A robot learning system based on the interactive entertainment mode of the Internet of Things

A technology of learning system and entertainment mode, applied in the field of robot learning system, can solve the problems of lack of data, hindering the progress of robot learning, high cost of data acquisition, etc., to achieve the effect of improving authenticity and effectiveness

Active Publication Date: 2022-05-03
杭州比脉科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The robot learning system of the present invention solves the problem of lack of data due to the high cost of data acquisition, thereby hindering the progress of robot learning

Method used

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  • A robot learning system based on the interactive entertainment mode of the Internet of Things
  • A robot learning system based on the interactive entertainment mode of the Internet of Things
  • A robot learning system based on the interactive entertainment mode of the Internet of Things

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Embodiment Construction

[0020] The technical solution of the present invention will be further explained below in conjunction with the accompanying drawings.

[0021] Such as figure 1 , the present invention provides a robot learning system based on the Internet of Things interactive entertainment mode, the system includes: a human-computer interaction module, a robot-environment interaction module, a robot learning system module; the human-computer interaction module, robot-environment interaction The module and the robot learning system module establish a data communication connection with each other.

[0022] The human-computer interaction module includes a first account operation unit, an interactive control unit, a data synchronization fusion unit and a visualization unit, and the first account operation unit is used for users to register an account, and submit the information of the registered account to the robot learning system module The interactive control unit is used to send control comm...

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Abstract

The invention discloses a robot learning system based on the interactive entertainment mode of the Internet of Things, which belongs to the technical field of artificial intelligence. The robot learning system includes: a human-computer interaction module, a robot-environment interaction module, and a robot learning system module; The interaction module includes a first account operation unit, an interaction control unit, a data synchronization fusion unit, and a visualization unit, and the robot-environment interaction module includes a second account operation unit, a deployment feedback verification unit, a data collection unit, and a device control unit. The robot learning system module includes an account management unit, a data processing unit, a learning training unit and a content distribution unit. The system of the invention can obtain labeled robot learning training data at low cost.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence, and in particular relates to a robot learning system based on an interactive entertainment mode of the Internet of Things. Background technique [0002] In recent years, robot learning technology has made many breakthroughs with the development of deep learning. Among many learning methods, supervised learning is an extremely important learning method in the current technology flow, and the effect is relatively good. However, this learning method Rely on a large amount of labeled data for training. For many practical scenarios, in order to obtain labeled data, the current method is to arrange collection equipment in the actual scene, collect data, and then use crowdsourcing mode for manual labeling, which consumes extremely high manpower, financial resources, and time costs. The lack of data thus becomes a bottleneck preventing further progress in this field. [0003] The existi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L67/1074H04L67/125H04N21/2187G16Y40/35G06N20/00
CPCH04L67/1078H04L67/125H04N21/2187G16Y40/35G06N20/00
Inventor 陈锴林
Owner 杭州比脉科技有限公司