Robot Route Correction Using Environmental Feature Feedback

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Solution Overview

Problem

Robots deviating from target traveling routes due to wheel slippage or other reasons cannot accurately detect positioning identifiers, necessitating manual correction by workers, which is labor-intensive and time-consuming.

Innovation Solution

A robot control method that enables automatic route correction by determining deviation distance and angle based on environmental features and traveling information, allowing the robot to autonomously return to the target route.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual correction by workers is used to transfer the robot back to the target traveling route, then the robot can be corrected to the proper route, but the process becomes labor-consuming and time-consuming

Engineering Contradiction:

Improveroute correction accuracyVSAvoidroute correction time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The robot performs self-correction by automatically detecting its deviation from the target traveling route using sensors and environment features, calculating correction parameters, and executing autonomous navigation adjustments without requiring manual intervention from workers

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The system continuously monitors the robot's position relative to the target traveling route through sensor feedback, compares actual position with desired position, and dynamically adjusts navigation commands to correct deviations in real-time

Inventive Principle:

Principle #23Feedback

2Reliability

If manual correction by workers is used to transfer the robot back to the target traveling route, then the robot can be corrected to the proper route, but the process becomes labor-intensive

Engineering Contradiction:

Improveroute correction accuracyVSAvoidoperation simplicity

Core Design Contradiction:

ReliabilityVSEase of operation

Solution Approach 1:

The robot autonomously detects route deviations using onboard sensors and environment features, calculates correction parameters, and executes self-correction without requiring worker intervention, transforming a labor-intensive manual process into an automated self-service system

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical manual intervention system with an automated sensor-based detection and control system that uses environmental features and traveling information to calculate and execute route corrections

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

3Speed

If the robot continues traveling without correction, then the robot maintains continuous movement, but it cannot detect positioning identifiers and loses accurate positioning

Engineering Contradiction:

Improvetraveling speedVSAvoidpositioning accuracy

Core Design Contradiction:

SpeedVSMeasurement precision

Solution Approach 1:

The system uses sensor feedback to continuously monitor whether the robot is detecting positioning identifiers along the target traveling route, and when detection fails, triggers automatic correction maneuvers to realign the robot with the route for accurate positioning

Inventive Principle:

Principle #23Feedback

Data Source

PatentUS12566449B2Robot control method, robot, and storage medium

Publication Date: 2026.03.03 HAI ROBOTICS CO LTD

AI summary

The present disclosure provides a robot control method, a robot, a control terminal, and a control system. The method includes: obtaining an environment feature around the first robot when the first robot detects no positioning identifier; determining a deviation distance and a deviation angle between the first robot and a target traveling route of the first robot according to the environment feature and traveling information of the first robot; and controlling the first robot to perform route correction according to the deviation distance and the deviation angle, to cause the first robot to move to the target traveling route again.