Method for operating a self-propelled cleaning device and self-propelled cleaning device
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Solution Overview
Problem
Existing self-propelled cleaning devices face challenges in reproducible and targeted demonstrations and tests due to unpredictable navigation and the need for complex laboratory setups, making it difficult to showcase functions and configure them in new environments.
Innovation Solution
A method and device enabling a predefined demonstration mode with predictable behavior, allowing for targeted testing and demonstration by specifying paths, obstacles, and boundaries, and allowing for quick restarts and adjustments to environments without requiring network connections.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the cleaning device navigates autonomously with random or unpredictable paths, then it can clean surfaces effectively, but it becomes difficult to demonstrate and test specific functions in a reproducible manner
Solution Approach 1:
The system dynamically switches between autonomous cleaning mode with random navigation and demonstration mode with predefined paths. The control unit receives mode selection signals and adjusts navigation behavior accordingly, allowing the device to adapt its movement pattern based on operational context.
Solution Approach 2:
The navigation parameters are changed based on operating mode. In demonstration mode, the system uses predefined paths with specific coordinates and sequences stored in memory, while in cleaning mode it employs random or systematic cleaning algorithms. This parameter switching enables both effective cleaning and reproducible demonstrations.
2Measurement precision
If comprehensive functional tests are conducted in a laboratory with specialized measuring instruments, then detailed functionality can be examined, but the setup becomes complex and requires multiple laboratories for complete testing
Solution Approach 1:
The cleaning device performs self-testing and self-demonstration capabilities through predefined paths and automated operation sequences. The device can autonomously execute demonstration routines without requiring external laboratory equipment, reducing test setup complexity while maintaining functional verification capability.
Solution Approach 2:
The control unit and memory system serve multiple functions: they manage autonomous cleaning navigation, store and execute predefined demonstration paths, process mode selection signals, and coordinate sensor data. This multi-functionality eliminates the need for separate specialized testing equipment for different functions.
3Adaptability or versatility
If the cleaning device moves autonomously in unpredictable paths during operation, then it adapts to the environment, but it may move under tables or cabinets obstructing the view during demonstrations
Solution Approach 1:
The navigation behavior is dynamically adjusted based on the selected operating mode. In demonstration mode, the device follows predefined paths that are planned to maintain visibility and avoid moving under furniture. In cleaning mode, it employs adaptive navigation to efficiently clean all areas including under tables and cabinets.
Solution Approach 2:
Predefined demonstration paths are planned and stored in advance, taking into account typical furniture layouts and visibility requirements. These pre-planned paths ensure that the device demonstrates its functions in a visible manner without requiring real-time adaptive navigation that could lead to obscured views.
4Measurement precision
If the cleaning device requires configuration and map creation before use in a new environment, then navigation accuracy is improved, but the initial setup becomes time-consuming and complicates quick demonstrations
Solution Approach 1:
For quick demonstrations, the system uses a simplified partial configuration approach with predefined paths that don't require complete environmental mapping. Full map creation and detailed configuration are only performed when high navigation precision is required for actual cleaning operations, not for brief demonstrations.
Solution Approach 2:
The system uses copied or stored predefined path data from memory to execute demonstration routines without requiring real-time environmental scanning and map creation. These pre-stored path representations allow the device to demonstrate navigation and cleaning functions immediately in new environments.
Data Source
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AI summary
A method for operating a self-propelled cleaning device is proposed, wherein the cleaning device has a cleaning mode in which it moves autonomously, and wherein the cleaning device has a demonstration mode and can be operated either in the demonstration mode or in the cleaning mode. In the demonstration mode, the cleaning device behaves according to a predefined set of parameters. According to a first aspect, the parameters define a task to be performed, and upon completion of the task, the cleaning device automatically exits the demonstration mode and returns to its initial position and orientation at the beginning of the demonstration mode. According to a further aspect, the parameters define a straight path to be followed by the cleaning device. A cleaning device designed to perform the method is also proposed.