Mobile robot system, mobile robot, and method of controlling the mobile robot system
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Solution Overview
Problem
Existing mobile robot systems struggle to efficiently travel in new spaces due to their inability to actively receive and reflect actual information required for navigation, limiting their ability to improve traveling technology and travel safely and flexibly in various environments.
Innovation Solution
A mobile robot system that receives information about moving spaces from an external server, performs deep learning based on this information, and uses this data to create traveling information for safe and flexible navigation, including the use of sensors and communication devices to transmit and receive data for controlling the robot's movement.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a mobile robot uses typical supervised learning to receive information from an external server, then the robot can perform basic traveling functions, but the robot cannot actively receive or reflect actual information required for traveling, limiting improvement in traveling technology
Solution Approach 1:
External robots perform preliminary exploration of moving spaces and store traveling information in advance. When a mobile robot needs to travel in a new environment, it can directly access pre-collected information from the server, avoiding the need to gather all information from scratch and enabling faster adaptation to new environments.
Solution Approach 2:
A server acts as an intermediary between multiple robots and the environment. The server collects, stores, and manages traveling information from various external robots, then provides this consolidated information to mobile robots that need to navigate new spaces, enabling information sharing and collective learning across the robot system.
2Productivity
If a mobile robot relies on its own sensor data collection, then the robot can maintain independence, but the robot cannot acquire sufficient information about new space efficiently
Solution Approach 1:
Instead of physically exploring every new space, mobile robots can obtain copied traveling information from external robots that have already explored those spaces. The server stores copies of spatial information that can be distributed to multiple robots, dramatically reducing the time needed to acquire knowledge about new environments.
Solution Approach 2:
The system merges information collection efforts of multiple external robots into a unified database on the server. By combining data from multiple sources, the system creates comprehensive traveling information that any mobile robot can access, improving overall productivity while reducing individual exploration time.
Data Source
AI summary
Disclosed are a mobile robot system including a server of creating and storing traveling information about moving space and a mobile robot of travelling on the moving space, wherein the mobile robot comprises a driving portion configured to move the mobile robot, a communication device configured to receive the traveling information from the server and a controller configured to control the driving portion based on the traveling information received from the communication device and wherein the server receives information about the moving space from at least one external robot, and creates the traveling information based on the information about the moving space.