Lawn Mowing Robot Control for Slope Compensation and Bumper Sensitivity
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Solution Overview
Problem
Existing moving robots, such as lawn mowing robots, face challenges in adapting to varying environmental conditions like lawn density and slope, leading to suboptimal performance and user dissatisfaction due to uncontrolled speed changes on slopes.
Innovation Solution
A moving robot system that includes a sensing unit to acquire environmental information, a controller to set parameters for bumper sensitivity and slope compensation, and a user terminal for user input, allowing for customized pattern traveling and optimal lawn mowing by adjusting sensitivity and slope compensation based on real-time data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the moving robot uses fixed bumper sensitivity settings, then the device complexity is reduced, but the adaptability to different lawn conditions (density and height) deteriorates
Solution Approach 1:
The moving robot automatically adjusts bumper sensitivity by sensing environmental information (lawn density, height) and calculating optimal values without user intervention. The controller performs self-adjustment based on sensor data, enabling the system to adapt to different lawn conditions autonomously while maintaining simple operation for users.
2Productivity
If the moving robot automatically changes speed according to slope angle, then the productivity on sloped terrain is improved, but the reliability of user-controlled operation deteriorates
Solution Approach 1:
The moving robot dynamically adjusts speed based on detected slope angles, transitioning from fixed speed to variable speed operation. The controller calculates optimal speed values according to slope conditions, enabling the robot to maintain productivity on inclined surfaces while allowing users to override adjustments when desired, balancing automation with user control.
3Productivity
If the moving robot does not perform slope compensation, then the device complexity is reduced, but the productivity on sloped terrain deteriorates
Solution Approach 1:
The moving robot adjusts operational parameters (speed, power output) based on detected slope conditions. The controller modifies these parameters dynamically according to the angle and characteristics of the terrain, enabling effective operation on inclined surfaces without requiring complex mechanical modifications to the robot's structure.
4Adaptability or versatility
If the moving robot requires manual parameter adjustment by user, then the adaptability to environment is improved, but the ease of operation deteriorates
Solution Approach 1:
The moving robot autonomously senses environmental parameters (lawn density, height, slope angle) and automatically calculates optimal operational settings. This self-adjustment capability eliminates the need for users to manually configure complex parameters, maintaining high adaptability to varying conditions while preserving simple, intuitive operation.
Data Source
AI summary
The present disclosure provides a moving robot including a body which forms an appearance, a traveler which moves the body with respect to a traveling surface in a traveling area, a sensing unit which acquires environment information of the traveling area, and a controller which sets a parameter tailored to the traveling area according to the environment information and performs pattern traveling of the traveling area. Accordingly, even when information on an environment in which the moving robot is installed is not obtained from a manufacture in advance, the moving robot can directly obtain information on the corresponding environment and set an optimum parameter according to the environment to increase efficiency.