Moving robot and controlling method
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing moving robot systems face challenges in preventing isolation situations, such as getting stuck under beds or in narrow areas, leading to battery discharge and incomplete cleaning, due to inadequate obstacle detection and virtual wall setup methods that rely on user intervention and external apparatuses.
Innovation Solution
The system generates a map of the cleaning area, detects isolation positions, and sets virtual walls to restrict the robot's movement, using a combination of sensors and image acquisition units to avoid obstacles and predict potential isolation areas, allowing the robot to autonomously avoid isolation and complete cleaning tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the moving robot autonomously detects isolation positions and sets virtual walls, then the reliability of preventing isolation is improved, but the device complexity increases
Solution Approach 1:
The moving robot autonomously detects isolation positions and sets virtual walls without external intervention. The robot's controller automatically processes sensor data, identifies isolation risks, and configures virtual wall parameters, enabling the system to serve itself and eliminate the need for external apparatuses or manual setup.
Solution Approach 2:
The patent replaces external mechanical apparatuses with sensor-based detection systems. Instead of using physical external devices to set virtual walls, the robot uses sensors (ultrasonic, infrared, laser, or vision sensors) to detect isolation positions and automatically configures virtual walls through software processing, substituting mechanical systems with sensing and computational systems.
2Measurement precision
If the robot uses sensors and image acquisition units to detect obstacles, then the measurement precision of obstacle detection is improved, but the use of energy increases
Solution Approach 1:
The robot employs multiple sensor types (ultrasonic, infrared, laser, or vision sensors) simultaneously or selectively to detect obstacles and isolation positions. This partial or excessive use of different sensing modalities ensures high measurement precision by cross-validating detections and covering various obstacle types, while the system can activate only necessary sensors based on environmental conditions to manage energy consumption.
3Productivity
If the robot autonomously navigates and avoids obstacles, then the productivity of cleaning is improved, but the device complexity increases
Solution Approach 1:
The sensor system and controller serve multiple functions: detecting obstacles, identifying isolation positions, mapping the environment, and navigating the robot. This multi-functionality allows the same hardware components to support both autonomous navigation and cleaning tasks, improving productivity without proportionally increasing device complexity.
Data Source
Figure 1(a)~1(b)
Figure 2(a)~2(b)
Figure 3(a)~3(b)
AI summary
A moving robot system includes a moving robot which travels in a cleaning area, generates a map of the cleaning area, moves based on the map, and sucks foreign substances; and a terminal which inputs a cleaning command to the moving robot, based on the map, wherein the moving robot determines that the moving robot is in an isolation state, when the moving robot is unable to move due to a surrounding obstacle while traveling in the cleaning area, and sets a virtual wall in an isolation position where isolation is occurred and avoids the isolation position during a next cleaning operation.