Lawn Mowing Robot Sensing for Obstacle and Force Shutdown
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Solution Overview
Problem
Existing lawn mowing robots lack the ability to accurately sense external forces and obstacles, which can lead to safety concerns and inefficiencies in operation, particularly in indoor and outdoor environments.
Innovation Solution
A mobile robot equipped with weight sensing sensors to detect external forces and obstacle sensing sensors to identify approaching obstacles, along with a processor that controls a toggle switch to stop the blade and movement when thresholds are met, and uses wireless communication anchors and AOA antennas for precise positioning and navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If autonomous driving is implemented to reduce user burden, then ease of operation is improved, but the ability to respond to external forces and obstacles deteriorates
Solution Approach 1:
The patent implements feedback mechanisms through weight sensing sensors that detect external forces applied to the robot body and obstacle sensing sensors that detect objects in the movement path. When external force exceeds a threshold or obstacles are detected, the system automatically stops the blade and alerts the user, creating a closed-loop safety response system that maintains reliability while preserving autonomous operation.
2Measurement precision
If GPS is used for outdoor positioning, then position specification is improved, but adaptability to indoor environments deteriorates
Solution Approach 1:
The patent employs a dual positioning system that uses GPS for outdoor environments and WiFi-based positioning for indoor environments. The system automatically selects the appropriate positioning method based on the operational environment, making the robot universally applicable both indoors and outdoors while maintaining accurate position specification in each context.
3Object-affected harmful factors
If blade driving is stopped when external force is sensed, then user safety is improved, but productivity deteriorates
Solution Approach 1:
The patent implements a hierarchical safety system with multiple sensing layers. The weight sensing sensor detects external forces before they can cause harm and triggers blade shutdown in advance. The system also includes obstacle sensing sensors that detect potential hazards before the blade reaches them. This beforehand cushioning approach prevents accidents while minimizing interruptions to productivity by only stopping the blade when necessary.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances user safety by preventing accidents from external forces and obstacles, improves operational efficiency by allowing the robot to autonomously navigate and charge, and provides notification to users when events occur, thus reducing user burden and enhancing convenience.
Implementation Method 1
a weight sensing sensor configured to sense an external force applied to the main body
Implementation Method 2
an obstacle sensing sensor configured to sense an obstacle approaching in a predetermined range
Implementation Method 3
receiving a wireless signal transmitted from three or more wireless communication anchors disposed in a work area of a mobile robot through the three or more AOA antennas and specifying the position of the mobile robot on the work area based on the incident angle of the wireless signal
Data Source
AI summary
Disclosed is a mobile robot configured to cut lawn in a work area. The mobile robot may include a main body, a weight sensing sensor, an obstacle sensing sensor, a blade, and a processor. The mobile robot may execute an artificial intelligence (AI) algorithm and/or a machine learning algorithm, and perform communication with other electronic devices in a 5G communication environment. As a result, it is possible to enhance user convenience.