Pool Cleaning Robot Navigation With Dual Obstacle Sensing
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Solution Overview
Problem
Existing robots, such as pool cleaning robots, operate inefficiently due to random trajectories, leading to poor coverage and missed cleaning areas.
Innovation Solution
The robot is equipped with dual distance measurement sensors to detect obstacles in different directions, allowing the control unit to adjust its movement path based on obstacle information, ensuring efficient navigation and cleaning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot moves along a random trajectory, then the structure is simple, but the operating efficiency is poor and coverage is incomplete
Solution Approach 1:
The robot performs preliminary mapping of the operating environment before executing the cleaning task. The control unit stores environmental information including obstacle positions and boundary definitions, which are then used to generate an optimized trajectory. This preliminary action enables the robot to follow a structured path rather than moving randomly, significantly improving coverage efficiency.
Solution Approach 2:
The robot continuously detects obstacles using distance measurement sensors during movement and feeds this information back to the control unit. The control unit adjusts the trajectory in real-time based on the detected obstacle positions, ensuring the robot maintains efficient coverage while avoiding collisions. This feedback mechanism allows the system to adapt to dynamic environments while maintaining high productivity.
2Adaptability or versatility
If the robot uses a single distance measurement sensor, then the device complexity is low, but the obstacle detection capability in multiple directions is insufficient
Solution Approach 1:
The obstacle detection function is segmented into multiple directional sensors positioned at different locations on the robot. The first distance measurement sensor detects obstacles in a first direction while the second distance measurement sensor detects obstacles in a second direction. This segmentation allows comprehensive multi-directional coverage without requiring a single complex omnidirectional sensor.
Solution Approach 2:
The system transitions from single-direction detection to multi-dimensional detection by adding spatial distribution of sensors. The sensors are positioned to detect obstacles in different directional dimensions, creating a three-dimensional awareness of the environment around the robot. This dimensional expansion enables the robot to navigate complex environments more effectively.
Data Source
AI summary
This application provides a swimming pool robot, including a robot body, a filter, a control unit, and a moving mechanism. Operating environments of the swimming pool robot at least include a first operating environment and a second operating environment. The moving mechanism at least includes a first moving mechanism configured to drive the swimming pool robot to move in the first operating environment and a second moving mechanism configured to drive the swimming pool robot to move in the second operating environment. The first operating environment is an underwater environment. The second operating environment is a non-underwater environment. The control unit is capable of controlling, based on a current operating environment of the swimming pool robot, a moving mechanism corresponding to the current operating environment of the swimming pool robot to drive the swimming pool robot to move. According to this application, operating efficiency of the robot can be improved.