Robot control method, computer-readable storage medium and robot

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Solution Overview

Problem

Intelligent cleaning robots select navigation points randomly, resulting in low exploration efficiency when mapping unknown regions.

Innovation Solution

A robot control method that determines the best target navigation point based on the relative positional relationship between candidate navigation points and the robot, including eliminating gap regions, identifying boundary lines, and assigning weights for access status and distance, to systematically select navigation points for improved exploration efficiency.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If robots select navigation points randomly, then the robot can explore unknown regions, but the exploration efficiency is low

Engineering Contradiction:

Improveexploration efficiencyVSAvoidtime for map construction

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The patent changes the selection parameter from random selection to weighted selection based on accessibility and distance metrics. By introducing weight parameters that quantify accessibility status and distance from current position, the system transforms the navigation point selection from a stochastic process to a deterministic optimization process, thereby improving exploration efficiency

Inventive Principle:

Principle #35Parameter changes

Solution Approach 2:

The patent applies local quality by differentiating navigation points based on their specific characteristics (accessibility status and distance). Each navigation point is evaluated independently with its own weight calculation based on local conditions, allowing the robot to prioritize locally optimal points that are directly accessible and closer to the current position

Inventive Principle:

Principle #3Local quality

2Area of stationary object

If robots navigate to distant navigation points, then more unknown regions can be covered, but the path becomes longer and obstacles require bypassing

Engineering Contradiction:

Improvearea of explored regionVSAvoidnavigation path length

Core Design Contradiction:

Area of stationary objectVSLength of moving object

Solution Approach 1:

The patent introduces distance as a key parameter in the weight calculation for navigation point selection. By changing the selection criterion to favor closer points (smaller distance values result in higher weights), the system optimizes the navigation path length while still progressively exploring new regions through systematic selection

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS20240361766A1Robot control method, computer-readable storage medium and robot

Publication Date: 2024.10.31 SHENZHEN SILVER STAR INTELLIGENT TECH CO LTD

AI summary

The present disclosure belongs to the technical field of robots, in particularly relates to a robot control method, a device, a computer-readable storage medium and a robot. The method includes selecting each candidate navigation point from a map of the robot; determining a target navigation point from each candidate navigation point according to the relative positional relationship between each candidate navigation point and the robot; and controlling the robot to move to the target navigation point. Through the above method, the best target navigation point can be determined according to the relative positional relationship between each candidate navigation point and the robot, which realizes the regular selection of the target navigation point, improves the efficiency of robot exploration and has strong practicability and ease of use.