Lawn Mowing Robot Route Planning for Cross-Area Charging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current lawn mowing robot route planning solutions are limited to single areas and require multiple charging stations or edge-following methods for returning to charge, leading to inefficient charging across multiple areas.
Innovation Solution
A route planning method that calculates movement costs and plans routes for lawn mowing robots to return to charging stations across areas without needing edge-following or buried wires, using position information and path optimization algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple charging stations are set up in each work area or edge-following methods are used for multi-area return-to-charge, then the robot can return to charge in multiple areas, but the device complexity and time loss increase significantly
Solution Approach 1:
The patent applies universality by enabling a single charging station to serve multiple work areas through virtual boundary technology. The robot can navigate across different areas and return to the same charging station, eliminating the need for multiple charging stations. The route planning system universally handles cross-area navigation by calculating optimal paths that may traverse multiple area boundaries, making the charging infrastructure adaptable to multi-area operations without increasing physical complexity.
2Adaptability or versatility
If multiple charging stations are set up in each work area or edge-following methods are used for multi-area return-to-charge, then the robot can return to charge in multiple areas, but the time loss for returning to charge increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating optimal routes between work areas and the charging station before the robot needs to return for charging. The route planning algorithm computes the most efficient path considering area boundaries and robot position in advance, rather than using time-consuming edge-following methods during the actual return journey. This pre-planning significantly reduces the time loss for returning to charge across multiple areas.
3Ease of operation
If fixed routes with buried wires are used for finding charging stations, then the robot can locate charging stations, but the manufacturing precision requirements and device complexity increase
Solution Approach 1:
The patent applies mechanics substitution by replacing the mechanical approach of buried wires and physical markers with a software-based virtual boundary system. Instead of installing physical infrastructure to guide the robot to charging stations, the system uses digital maps, coordinate systems, and algorithmic route planning. This substitution eliminates installation complexity while maintaining precise charging station location capability through computational methods rather than mechanical guidance structures.
Data Source
AI summary
Embodiments of the present disclosure disclose a route planning method, a device, a lawn mowing robot, and a storage medium, including: detecting whether a charging station is located within a preset operation map; when it is detected that the charging station is located within the preset operation map, acquiring first position information of the lawn mowing robot and second position information of the charging station; calculating a movement cost for the lawn mowing robot to move to the charging station in the operation map based on the first position information and the second position information; and planning a movement route for the lawn mowing robot to move to the charging station based on the movement cost.