Self-Movement Robot 3D Mapping for Obstacle Height Navigation

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Solution Overview

Problem

Self-movement robots face hindrances in navigating through obstacles when the obstacle height exceeds their body height, limiting their ability to pass smoothly, especially in complex environments.

Innovation Solution

Equipping self-movement robots with first and second distance sensors to generate three-dimensional map information by overlaying spatial height data onto two-dimensional maps, allowing for smooth, safe, and efficient operation in combined mode by planning walking paths based on three-dimensional maps.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Length of moving object

If the robot body height is increased to pass through obstacles, then the robot can navigate higher obstacles, but the robot cannot pass through low-height obstacles smoothly

Engineering Contradiction:
Improverobot body heightVSAvoidsmooth passage through obstacles
Core Design Contradiction:
Length of moving objectVSEase of operation

Solution Approach 1:

The patent transitions from two-dimensional map information to three-dimensional map information by adding height dimension data. Distance sensors collect spatial height information above the working surface, and the control center overlays this height data onto the 2D map to generate 3D map information, enabling the robot to navigate obstacles of varying heights effectively

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Device complexity

If two-dimensional map information is used for navigation, then the system is simple, but the robot cannot accurately navigate three-dimensional obstacles

Engineering Contradiction:
Improvemap system complexityVSAvoidobstacle navigation accuracy
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The patent enhances the map system by adding the height dimension to traditional 2D maps. Distance sensors mounted on the robot body collect spatial height information above the working surface during movement. The control center processes this height data and overlays it onto the 2D map information to generate comprehensive 3D map information, improving obstacle navigation accuracy while maintaining system simplicity

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Loss of information

If distance sensors are added to collect spatial height information, then three-dimensional map information can be generated, but the device complexity increases

Engineering Contradiction:
Improvespatial height informationVSAvoidsensor system complexity
Core Design Contradiction:
Loss of informationVSDevice complexity

Solution Approach 1:

The patent employs distance sensors that serve multiple functions: they collect both two-dimensional map information of the working surface and spatial height information above the working surface. This multi-functional approach reduces the need for separate sensor systems, thereby minimizing device complexity while comprehensively capturing spatial data for 3D map generation

Inventive Principle:
Principle #6Universality (Multi-functionality)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

Enables self-movement robots to navigate complex environments safely and efficiently by converting two-dimensional map information into three-dimensional data, ensuring the robot can pass through obstacles even when in a combined state with increased height.

Implementation Method 1

the first distance sensor and the second distance sensor may include an ultrasonic sensor, an infrared sensor and/or a visual sensor

Methodology Applied
Scientific EffectUltrasonic sensing: Ultrasound

Implementation Method 2

the first distance sensor and the second distance sensor may include an ultrasonic sensor, an infrared sensor and/or a visual sensor

Methodology Applied
Scientific EffectInfrared sensing: Infrared Radiation

Implementation Method 3

the first distance sensor and the second distance sensor may include an ultrasonic sensor, an infrared sensor and/or a visual sensor

Methodology Applied
Scientific EffectUltrasonic sensing: Ultrasound

Implementation Method 4

the first distance sensor and the second distance sensor may include an ultrasonic sensor, an infrared sensor and/or a visual sensor

Methodology Applied
Scientific EffectInfrared sensing: Infrared Radiation

Data Source

PatentUS11628569B2Self-movement robot, map invoking method, and combined robot
Publication Date: 2023.04.18 ECOVACS ROBOTICS CO LTD
  • US11628569B2 patent drawing
  • US11628569B2 patent drawing

AI summary

Provided are a self-movement robot, a map invoking method and a combined robot. The self-movement robot includes a robot body and a control center disposed on the body, the robot body comprising a distance sensor, the distance sensor collects two-dimensional map information of a working surface on which the self-movement robot is located, and collects spatial height information above the working surface on which the self-movement robot is located; and while obtaining the two-dimensional map information of the working surface, the control center overlays the spatial height information to the two-dimensional map information and obtains three-dimensional map information of a working region.