Lawn Mower Robot Path Alignment for Faster Patterned Cutting

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Solution Overview

Problem

Existing moving robots for lawn care lack the ability to efficiently align patterns and optimize working time based on the shape and size of the work area, leading to suboptimal lawn care operations.

Innovation Solution

A moving robot equipped with processors that obtain alignment direction information and generate travel path information based on pattern, shape, and size data, allowing for pattern alignment and optimized path planning, including communication with beacons for location information and user input for correction.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the moving robot uses random travel within the work area, then the robot can cover the area, but the working time is extended and efficiency is reduced

Engineering Contradiction:
Improvelawn care efficiencyVSAvoidworking time
Core Design Contradiction:
ProductivityVSLoss of time

Solution Approach 1:

The robot pre-calculates and stores optimal travel path patterns (e.g., spiral, stripe, grid patterns) before executing lawn care tasks. The processor determines alignment directions and generates travel paths based on work area shape information, so that when the robot operates, it follows pre-optimized routes rather than moving randomly, significantly reducing working time and improving productivity

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The robot dynamically adjusts its travel path and alignment direction based on the specific shape and size of the work area. The processor analyzes work area geometry and selects or modifies patterns accordingly, allowing the robot to adapt its movement strategy to different lawn configurations, optimizing efficiency for each specific scenario

Inventive Principle:
Principle #15Dynamics

2Ease of operation

If the moving robot lacks pattern alignment capability, then the device structure is simple, but the lawn care quality and aesthetic satisfaction are reduced

Engineering Contradiction:
Improvelawn care qualityVSAvoidpattern alignment system
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

The pattern alignment function is segmented into distinct processing stages: work area shape recognition, pattern selection, alignment direction determination, and travel path generation. Each stage is handled by the processor through software algorithms, avoiding the need for complex hardware modifications while achieving high-quality lawn care patterns

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The processor acts as an intermediary that translates work area geometry and pattern requirements into specific alignment directions and travel paths. This software-based intermediary enables sophisticated pattern alignment without requiring complex mechanical or sensing hardware, maintaining device simplicity while improving operation quality

Inventive Principle:
Principle #24Intermediary (Mediator)

3Loss of time

If the moving robot does not obtain work area shape and size information, then the system is simpler, but the ability to optimize travel paths and minimize working time is lost

Engineering Contradiction:
Improveworking timeVSAvoidinformation processing system
Core Design Contradiction:
Loss of timeVSDevice complexity

Solution Approach 1:

The robot autonomously obtains work area shape and size information by communicating with beacons positioned at the work area boundaries. The processor automatically processes this information to determine optimal patterns and alignment directions without external intervention, enabling time optimization through self-directed information gathering and processing

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system replaces complex mechanical measurement devices with a communication-based approach. Instead of using physical sensors or measurement tools to map the work area, the robot uses wireless communication with beacons to obtain boundary location information, which the processor then converts into shape and size data for path optimization

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

The robot can accurately align patterns and minimize working time by optimizing its path, providing aesthetic satisfaction and efficient lawn care, while also allowing user input for pattern correction and displaying relevant information.

Implementation Method 1

the moving robot generates an induced current through a coil, and randomly travels within the work area while recognizing the wire using the generated induced current

Methodology Applied
Scientific EffectElectromagnetic Induction: Electromagnetic Induction

Data Source

PatentUS20240248471A1Moving robot and control method thereof
Publication Date: 2024.07.25 SAMSUNG ELECTRONICS CO LTD
  • US20240248471A1 patent drawing
  • US20240248471A1 patent drawing
  • US20240248471A1 patent drawing

AI summary

A moving robot including a main body; a plurality of wheels configured to rotate to move the main body; a blade provided to the main body and configured to be rotatable to cut grass; and at least one processor configured to obtain alignment direction information of a pattern by which the main body is movable based on pattern information and shape information of a work area, generate travel path information based on the obtained alignment direction information of the pattern, control the plurality of wheels to rotate to move the main body based on the generated travel path information, and control the blade to rotate to cut grass based on the generated travel path information.