Robot Visual Navigation Using Track Edge Lines Without Ground Markers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing visual navigation methods for robots require costly and labor-intensive arrangement and maintenance of identification codes on the ground, which can lead to errors and increased operational costs due to wear and aging, affecting navigation accuracy.
Innovation Solution
A method that utilizes visual sensors to detect target reference objects at the sides of a robot's moving track, determines edge lines and shadow eliminating points, and adjusts the robot's motion based on geometric line structures without the need for additional identification codes, using filtering and edge detection techniques to enhance accuracy and reduce manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If identification codes are arranged on the ground for visual navigation, then the robot can determine running path and direction, but production cost increases and maintenance is required
Solution Approach 1:
The patent extracts the navigation function from artificial identification codes and transfers it to naturally existing environmental features. The visual navigation system directly uses edges and contours of objects in the environment (walls, furniture, natural boundaries) as reference markers, eliminating the need to install separate identification codes on the ground.
Solution Approach 2:
The environment itself provides the navigation references through its natural geometric features. The system makes the environment self-descriptive for navigation purposes by using its own structural elements (edges, lines, contours) as the reference framework, so the environment serves its own navigation function without external additions.
2Measurement precision
If identification codes are arranged on the ground with strict standards, then navigation accuracy is achieved, but investment in manpower and material resources is required
Solution Approach 1:
The patent removes the requirement for人工 arrangement of identification codes and instead extracts navigation information directly from the natural geometric structure of the environment. The system processes edge lines and contours that already exist in the scene without requiring any artificial markers to be placed.
Solution Approach 2:
Instead of adding artificial markers to the environment to provide navigation references, the system inverts the approach by having the robot directly interpret and use the natural geometric features of the environment itself as references, turning the environment's passive structure into active navigation information.
3Reliability
If identification codes are used for navigation, then running direction can be determined, but maintenance is needed to avoid wear and aging
Solution Approach 1:
The natural environmental features serve as permanent navigation references that do not degrade over time. Walls, furniture, and structural elements inherently maintain their geometric properties and do not require replacement or maintenance like artificial identification codes would.
Solution Approach 2:
The patent eliminates the use of short-lived artificial identification codes that wear out and need replacement. Instead, it uses permanent, durable environmental features that naturally persist without degradation, effectively replacing consumable markers with enduring structural references.
Data Source
AI summary
A method for controlling motion of a robot includes: obtaining a moving scene image collected by a visual sensor, and detecting a target reference object according to the moving scene image to obtain a detection result of the target reference object, wherein the target reference object comprises reference objects at two sides of a moving track of a target robot; determining an edge line of the moving track according to the detection result of the target reference object; determining positioning information of a target shadow eliminating point according to the edge line; and determining a motion adjustment parameter of the target robot according to the positioning information, and adjusting a motion state of the target robot according to the motion adjustment parameter.