Cleaning Robot Usage Order Determination Based on Historical Task Data
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Solution Overview
Problem
Defining usage orders for cleaning tasks in cleaning robots can be labor-intensive for users, as they need to manually specify the scope and timing of cleaning tasks, both for immediate and scheduled tasks.
Innovation Solution
An apparatus and method that determine and adapt usage orders for cleaning robots based on historical usage data, allowing the robot to automatically execute tasks by analyzing the quantity and scope of previous cleaning orders, thereby reducing user intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually define usage orders for cleaning tasks, then the cleaning robot can execute tasks with precise user specifications, but the user effort and time required to define and maintain these orders increases significantly
Solution Approach 1:
The cleaning robot automatically analyzes its own historical cleaning order data to generate suggested usage orders, eliminating the need for users to manually define task scopes and frequencies. The system serves itself by autonomously processing its operational history to create optimized cleaning schedules
Solution Approach 2:
The system continuously monitors and analyzes historical cleaning order data, using this feedback to automatically generate and refine suggested usage orders. This closed-loop approach ensures that the robot learns from past operations and continuously improves task scheduling without additional user input
2Manufacturing precision
If users define detailed usage orders for each cleaning task, then the cleaning scope and timing can be precisely controlled, but the complexity of the system increases due to multiple parameters to manage
Solution Approach 1:
The system creates simplified copies of historical cleaning orders by extracting essential patterns (frequency, scope, timing) from past operations. Instead of managing complex individual task definitions, the robot generates usage orders based on replicated patterns from historical data, reducing parameter management complexity
3Productivity
If the cleaning robot executes many cleaning orders manually initiated by users, then the cleaning tasks are performed as needed, but the user time investment and operational burden increase
Solution Approach 1:
The system performs preliminary analysis of historical cleaning data to pre-determine optimal cleaning schedules and scopes. By preparing usage orders in advance based on historical patterns, the robot eliminates the need for users to initiate tasks manually, performing the planning action before actual cleaning execution is needed
Data Source
AI summary
An apparatus is described for determining a usage order for a cleaning robot. The apparatus is configured so as to determine a quantity of cleaning orders already executed that were executed by the cleaning robot within a previous operating period. The individual cleaning orders each indicate a scope of the cleaning task that is performed by the cleaning robot in the respective cleaning order. The apparatus is furthermore configured so as to determine and/or adapt at least one usage order for a preceding point in time on the basis of the quantity of cleaning orders already executed, wherein the usage order indicates a scope of the cleaning task to be performed by the cleaning robot in the usage order.