Water Surface Cleaning Robot Steering for Multi-Direction Obstacle Avoidance
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Solution Overview
Problem
Cleaning robots for water surfaces lack an effective obstacle avoidance control algorithm, leading to frequent collisions with walls during movement.
Innovation Solution
A method involving a detection unit for real-time obstacle detection in three directions, generating steering decisions based on detection results, and implementing an escape strategy when trapped.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the cleaning robot moves on the water surface without obstacle avoidance control, then the movement is simple and direct, but the robot frequently collides with walls and obstacles
Solution Approach 1:
The obstacle avoidance function is segmented into independent detection units arranged in multiple directions (front, rear, left, right). Each detection unit independently monitors obstacles in its specific direction, and the control unit processes signals from these segmented sensors to generate steering decisions. This segmentation allows the system to achieve reliable obstacle avoidance without requiring a single complex omnidirectional sensor system.
Solution Approach 2:
The detection units continuously monitor obstacles in advance before the robot reaches them. When an obstacle is detected in a specific direction, the control unit proactively generates a steering decision to avoid the obstacle before collision occurs. This preliminary detection and action approach ensures reliable collision-free movement by anticipating obstacles rather than reacting to them after contact.
2Reliability
If the robot uses a single-direction obstacle detection, then the detection system is simple, but the robot cannot effectively avoid obstacles from multiple directions
Solution Approach 1:
The detection system is divided into multiple independent detection units, each responsible for monitoring a specific direction (front, rear, left, right). This segmentation enables comprehensive multi-directional obstacle detection while keeping each individual sensor simple and manageable. The control unit integrates signals from these segmented detection units to make holistic steering decisions.
Solution Approach 2:
The detection units are designed with multi-functionality, serving both as simple distance sensors and as inputs for complex steering decision-making. The same detection units that monitor for obstacles also provide data for determining steering direction and magnitude. This universal use of detection components achieves effective multi-directional obstacle avoidance without proportionally increasing system complexity.
3Reliability
If the robot makes steering decisions based on all detection directions simultaneously, then the obstacle avoidance is comprehensive, but the response time increases due to processing complexity
Solution Approach 1:
The detection units continuously monitor obstacles in advance, maintaining readiness to detect obstacles in all directions before steering decisions are needed. This continuous preliminary monitoring allows the control unit to immediately process detection results and generate steering decisions when obstacles are detected, reducing response time while maintaining comprehensive obstacle avoidance coverage.
Solution Approach 2:
The control unit autonomously processes detection signals from multiple directions and automatically generates appropriate steering decisions without external intervention. This self-service capability enables rapid response to obstacles by immediately translating detection data into steering actions, reducing decision time while ensuring accurate comprehensive obstacle avoidance based on all detection inputs.
Data Source
AI summary
The present application discloses a water surface obstacle avoidance movement method of a cleaning apparatus, which is applied to a cleaning apparatus, the cleaning apparatus including a detection unit for detecting obstacles in a first direction, a second direction and a third direction of the cleaning apparatus, the method including the following steps: detecting obstacles in the three directions in real time; when the detection unit detects the obstacle in at least one direction, generating a steering decision according to detection results of the other two directions and performing the steering decision. Based on the obstacle avoidance strategy, the cleaning apparatus can effectively avoid the obstacle and achieve collision-free driving.