Robot Charging Path Planning Using Deflection Angle Navigation
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Solution Overview
Problem
Existing robot charging systems are inefficient due to the robot's random search for the boundary line, leading to increased time and power consumption when obstacles are present, as they lack a principle of proximity for navigation.
Innovation Solution
An automatic charging method and system that records coordinates of the charging station and the robot's current position, calculates a deflection angle and direction, and guides the robot to the charging station using GPS and camera assistance to plan a real-time charging path, thereby optimizing navigation and reducing search time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the robot uses random search along the boundary line to find the charging station, then the robot can eventually locate the charging station, but the charging time increases and power consumption increases when obstacles are present
Solution Approach 1:
The patent replaces the mechanical boundary-following search method with a GPS-based positioning system. The robot uses satellite navigation to directly calculate its position relative to the charging station and navigate along the optimal straight-line path, eliminating the need to physically follow the boundary line and randomly search when obstacles are encountered.
Solution Approach 2:
The patent introduces GPS positioning and camera recognition as intermediary systems between the robot and the charging station. These intermediaries provide real-time position information and visual confirmation, enabling the robot to make informed navigation decisions without relying on random boundary following.
2Reliability
If the robot uses random search along the boundary line to find the charging station, then the robot can eventually locate the charging station, but the power consumption of the robot increases
Solution Approach 1:
The patent replaces the energy-intensive mechanical boundary-following search with a computationally-based GPS navigation system. By using satellite positioning data and direct path calculation, the robot eliminates unnecessary movements and repeatedly traversing the same areas, thereby significantly reducing power consumption.
Solution Approach 2:
The patent performs preliminary positioning and path planning using GPS before the robot begins its return to charging. The system pre-calculates the optimal path and provides real-time guidance, preventing the robot from wasting energy on random searches and unnecessary boundary following.
3Reliability
If the robot follows the boundary line without proximity principle, then the robot can locate the charging station, but the navigation efficiency decreases
Solution Approach 1:
The patent substitutes the slow mechanical boundary-following process with rapid GPS-based position calculation and direct navigation. The robot can instantly determine its position relative to the charging station and adjust its course along the shortest path, dramatically improving navigation efficiency.
Solution Approach 2:
The patent implements continuous feedback through GPS positioning and camera recognition systems that provide real-time information about the robot's position and the charging station's location. This feedback loop enables dynamic path adjustment and direct navigation, eliminating the inefficiencies of boundary following.
Data Source
AI summary
The present invention provides an automatic charging method and system for a robot, a robot, and a storage medium. The method comprises: S1, recording coordinates of a position A of a charging station; S2, when the robot receives a charging instruction, recording coordinates of a current position B of the robot; S3, after driving the robot to walk a preset distance straight with the coordinates of the position B as a starting point, recording coordinates of a current position C of the robot; S4, calculating a deflection angle and deflection direction of the robot relative to the charging station according to the coordinates of the position A, the position B and the position C; and S5, driving the robot to search for and arrive at the charging station according to the deflection angle and deflection direction. The automatic charging method and system for a robot, a robot, and a storage medium provided in the present invention have the advantages that a charging path can be planned in real time through the positions of the charging station and the robot, so as to save the charging time and improve the use performance of the robot.