Mobile Robot Delivery Control With Destination Verification

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Solution Overview

Problem

Existing robots are limited to point-to-point article transportation along fixed paths, fail to adapt to varying transportation needs, and lack real-time verification of delivery destinations, leading to reduced efficiency and reliability in article delivery.

Innovation Solution

A control method and system for mobile robots that utilize feature information from the user's environment and face region to adjust moving paths, avoid obstacles, and verify delivery conditions, ensuring efficient and reliable article delivery.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If robots move in a point-to-point way along a fixed path, then the robot structure and control system are simple, but the robot cannot adapt to different article transportation needs or different paths, reducing transportation efficiency

Engineering Contradiction:
Improveadaptability to different transportation destinations and pathsVSAvoidcomplexity of path planning and control system
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements dynamic path planning by enabling the mobile robot to receive real-time location information from the terminal device and dynamically adjust its moving path based on the current location and destination. The control system continuously updates the path planning algorithm to adapt to different transportation needs, transforming the fixed path system into a dynamic, adaptable navigation system that optimizes transportation efficiency.

Inventive Principle:
Principle #15Dynamics

2Reliability

If the robot directly unloads articles after arriving at the destination, then the operation is fast, but the real-time situation of the destination is not verified, reducing delivery reliability

Engineering Contradiction:
Improvereliability of article deliveryVSAvoidtime for verification before unloading
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by requiring the mobile robot to perform verification of the destination environment before executing the article unloading operation. The control system instructs the robot to capture images of the destination, compare them with reference images, and confirm the presence of the correct location and absence of obstacles before proceeding with unloading. This preliminary verification ensures delivery reliability while minimizing time loss through efficient image comparison algorithms.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If the robot follows a fixed path without real-time adjustment, then the control system is simple, but the robot cannot avoid obstacles or adjust to changing environmental conditions

Engineering Contradiction:
Improvearticle transportation efficiencyVSAvoidcomplexity of real-time obstacle detection and path adjustment
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The patent implements feedback mechanisms by equipping the mobile robot with sensors and cameras that continuously monitor the environment during transportation. The control system receives real-time feedback about obstacles and environmental changes, compares the current state with the planned path, and automatically adjusts the navigation commands to avoid obstacles while maintaining progress toward the destination. This closed-loop control system optimizes transportation efficiency through adaptive response to changing conditions.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12472640B2Control method and system for article transportation based on mobile robot
Publication Date: 2025.11.18 GUANGDONG POLYTECHNIC NORMAL UNIV
  • US12472640B2 patent drawing
  • US12472640B2 patent drawing
  • US12472640B2 patent drawing

AI summary

A control method and a control system based on a mobile robot are provided, which correspondingly obtain first feature information and second feature information according to a specific target object and a face region of the user present in region environment, and a delivery request message is sent to the mobile robot; the obstacle presence information is obtained during moving process of mobile robot along the moving path so as to adjust moving state of mobile robot; the corresponding third feature information is obtained according to the image of current region of mobile robot; whether the mobile robot performs an article unloading operation is controlled according to a comparison result between the third feature information and the second feature information; the efficient transportation paths are chose according to the moving path of the mobile robot, and the real-time situation of the destinations may be verified.