Task Scheduling for Multifunction Robots to Reduce Hygiene Downtime
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Multifunction robots face efficiency reductions due to restrictions after completing certain tasks, such as the need for washing or glove replacement, which prolongs cooking operations.
Innovation Solution
An information processing device determines the execution order of tasks based on the state transition of operation tools to avoid inappropriate state transitions and satisfy execution restrictions, thereby enhancing overall operation efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a multifunction robot performs multiple cooking tasks sequentially, then the robot can handle various cooking operations, but the execution efficiency is reduced due to washing and glove replacement requirements
Solution Approach 1:
The system performs preliminary analysis of the task sequence and identifies hygiene transition points before execution. By pre-determining when washing or glove replacement is needed based on the state transition model, the system can plan and execute tasks more efficiently, minimizing downtime while maintaining food safety requirements
Solution Approach 2:
The system dynamically adjusts the task execution schedule based on the current state of the robot arm and tool. By monitoring state transitions in real-time and adapting the task sequence accordingly, the system optimizes productivity while satisfying hygiene constraints, rather than following a fixed rigid schedule
2Reliability
If washing and glove replacement are performed after each cooking task, then hygiene restrictions are satisfied, but the total operation time increases
Solution Approach 1:
The system pre-identifies which tasks require hygiene transitions by analyzing the state changes associated with each task. By determining the necessary washing or glove replacement events in advance based on the task sequence, the system minimizes unnecessary hygiene operations while ensuring compliance, thereby reducing total downtime
Solution Approach 2:
The system autonomously determines when hygiene transitions are needed by monitoring its own state changes. Through self-monitoring of the robot arm and tool state, the system independently decides when washing or glove replacement is necessary, eliminating the need for conservative fixed-schedule hygiene interruptions
3Object-affected harmful factors
If the robot arm is washed or gloves are replaced frequently, then pathogen contamination is prevented, but the operational productivity decreases
Solution Approach 1:
The system pre-analyzes the task sequence to identify when state transitions that increase contamination risk occur. By determining in advance which tasks require hygiene transitions based on the nature of the cooking operations, the system performs washing or glove replacement only when necessary, preventing pathogen contamination while maintaining productivity
Solution Approach 2:
The system changes the parameter of hygiene intervention frequency based on the actual state transitions occurring during task execution. Rather than using a fixed frequency, the system dynamically adjusts when washing or glove replacement occurs based on the specific state changes associated with each task, optimizing both safety and productivity
Data Source
AI summary
Execution restrictions on tasks based on a state of a multifunction robot or the like are satisfied, and furthermore, the execution efficiency of the entirety of an operation is also enhanced. An information processing device includes a determination unit that determines an execution order of a plurality of tasks including an operation for a target object, based on a transition of a state of an operation tool used in each of the tasks.