Robot Map Switching Control for Large-Area Continuous Operation

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Solution Overview

Problem

Existing robots face challenges in performing continuous operations in large environments due to limitations in map constructing and navigation, leading to poor operation accuracy and stability, high hardware requirements, and increased costs.

Innovation Solution

The proposed solution involves a robot control method and apparatus that divide a large environment into smaller map regions, construct operation maps for each region, establish a map connection relationship, and enable cross-map continuous operation by switching between maps at common regions, thereby improving navigation accuracy and stability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If a robot uses a single large-scale operation map to navigate in large environments, then the robot can cover the entire area, but the map constructing complexity and navigation computational burden increase significantly

Engineering Contradiction:
Improvecoverage areaVSAvoidmap constructing complexity
Core Design Contradiction:
Area of stationary objectVSDevice complexity

Solution Approach 1:

The patent divides a large-scale environment into multiple small-scale operation maps, each covering a specific region. The robot constructs and navigates using these segmented maps individually, then switches between them when moving between regions, thereby reducing the complexity of map construction and navigation computation for each individual map while maintaining comprehensive coverage.

Inventive Principle:
Principle #1Segmentation

2Area of stationary object

If a robot uses a single large-scale operation map, then the robot can navigate the entire environment, but the hardware requirements and costs increase

Engineering Contradiction:
Improvecoverage areaVSAvoidhardware cost
Core Design Contradiction:
Area of stationary objectVSEase of manufacture

Solution Approach 1:

By segmenting the large environment into multiple small maps, the robot only needs to load and process one small map at a time, reducing the requirements for memory, processing power, and storage hardware. This segmentation approach allows the use of more affordable hardware configurations while still enabling navigation across large areas through map switching.

Inventive Principle:
Principle #1Segmentation

3Area of stationary object

If a robot uses a single large-scale operation map, then the robot can operate continuously across the entire area, but the operation accuracy and stability decrease

Engineering Contradiction:
Improvecoverage areaVSAvoidoperation accuracy
Core Design Contradiction:
Area of stationary objectVSReliability

Solution Approach 1:

Each small-scale operation map can be constructed and optimized independently with higher precision, focusing on local features and details. This segmentation allows for more accurate localization and navigation within each small map compared to a single large map, where features might be too sparse or indistinct. The robot maintains high operation accuracy by operating within these precise small maps and switching between them.

Inventive Principle:
Principle #1Segmentation

4Ease of manufacture

If a robot divides the environment into multiple small operation maps, then the map constructing complexity and hardware requirements are reduced, but the system complexity for map switching increases

Engineering Contradiction:
Improvehardware costVSAvoidmap switching complexity
Core Design Contradiction:
Ease of manufactureVSDevice complexity

Solution Approach 1:

The patent introduces a map management module that acts as an intermediary to handle map switching automatically. This module maintains a map library, determines when switching is needed based on robot position and target information, and manages the transition between maps. By centralizing this functionality in a dedicated module, the complexity of map switching is encapsulated and managed systematically, rather than being scattered throughout the navigation system.

Inventive Principle:
Principle #24Intermediary (Mediator)

Data Source

PatentUS20250053177A1Robot, robot control method and apparatus, and storage medium
Publication Date: 2025.02.13 BEIJING XIAOMI ROBOT TECH CO LTD
  • US20250053177A1 patent drawing
  • US20250053177A1 patent drawing
  • US20250053177A1 patent drawing

AI summary

A robot control method, including: determining a target operation map according to target position information of a current operation of a robot; determining, based on a pre-established map connection relationship, a transfer position that the robot moves to; controlling the robot to move to the transfer position and switching maps, until the robot moves to the target operation map; and controlling the robot to move to an operation destination according to map information of the target operation map and the target position information.