Robot Map Switching for Cross-Region Navigation Accuracy
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Solution Overview
Problem
Existing robots face challenges in large environment scenes due to high hardware requirements, poor operation accuracy and stability, and increased costs when performing cross-region operations, especially in outdoor settings like industrial parks or wide open spaces, where map constructing and continuous operation capabilities are limited.
Innovation Solution
The method involves dividing the large environment into smaller map regions, constructing operation maps for each region, establishing a map connection relationship, and enabling cross-map operations by switching between these maps, allowing a single robot to perform continuous operations across the entire region with reduced computational and storage demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a single robot performs cross-region operations in large environment scenes, then operation coverage is improved, but computational burden and hardware requirements increase
Solution Approach 1:
The patent divides the large environment scene into multiple smaller map regions, with each region having its own operation map. The robot performs operations within individual regions and switches between maps when transitioning regions, rather than loading and processing a single large-scale map. This segmentation reduces the computational burden and hardware requirements while maintaining the ability to operate across the entire large environment.
2Adaptability or versatility
If a single robot performs cross-region operations in large environment scenes, then operation coverage is improved, but navigation accuracy and stability deteriorate
Solution Approach 1:
By dividing the large environment into smaller map regions, each region's operation map can be constructed with higher precision using localized mapping algorithms. The robot maintains accurate navigation within each small region rather than struggling with a single large-scale map, thereby improving overall navigation accuracy and stability across the entire operation area.
Solution Approach 2:
The patent introduces map switching as an intermediary mechanism when the robot transitions between regions. Instead of directly navigating across the entire large environment with a single map, the robot switches between multiple small-scale operation maps at region boundaries, maintaining navigation accuracy through this intermediary approach.
3Reliability
If multiple robots are deployed for cross-region operations, then operation reliability is improved, but system cost increases
Solution Approach 1:
The patent enables a single robot to effectively perform cross-region operations by segmenting the environment into multiple manageable map regions. This allows one robot to cover the entire large environment through map switching, eliminating the need to deploy multiple robots and thereby reducing system cost while maintaining operation reliability.
Data Source
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AI summary
The disclosure relates to the field of bio-robots, and provides a robot, a robot control method and apparatus, and a storage medium. A robot control method, including: determining (S510) a target operation map according to target position information of a current operation of a robot; determining (S520), based on a pre-established map connection relationship, a transfer position that the robot moves to; controlling (S530) the robot to move to the transfer position and switching (S530) maps, until the robot moves to the target operation map; and controlling (S540) the robot to move to an operation destination according to map information of the target operation map and the target position information.