Robot Task Timing Control Based on User Proximity
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Solution Overview
Problem
Conventional robot control systems fail to efficiently manage task execution times when users arrive late at designated service locations, leading to canceled services and increased resource consumption, as they typically require rescheduling and re-attempting tasks.
Innovation Solution
A robot control method and system that adjusts task performance times based on the user's location, allowing the robot to wait for the user if they are nearby, thereby extending the scheduled time and ensuring task completion without rescheduling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the robot strictly follows the scheduled task performance time, then the task execution efficiency is improved, but the user service satisfaction deteriorates when users arrive late
Solution Approach 1:
The robot control system dynamically adjusts the task performance time based on real-time user location data. When a user is detected near the service location, the system extends the task performance time automatically, transforming the rigid scheduled time into a flexible parameter that adapts to user arrival conditions, thereby resolving the contradiction between execution efficiency and service satisfaction
Solution Approach 2:
The system implements a feedback mechanism by continuously monitoring user location through camera or positioning systems and using this information to adjust task performance timing. The location information feeds back to the control system, which then modifies the task execution schedule accordingly, creating a closed-loop control that balances efficiency and user satisfaction
2Ease of operation
If the robot waits for the user beyond the scheduled time, then the user service satisfaction is improved, but the resource consumption increases
Solution Approach 1:
The system changes the time parameter dynamically based on user proximity. Instead of using a fixed waiting time, the task performance time is adjusted as a variable parameter that depends on real-time user location, allowing the robot to wait only as long as necessary, thus improving service satisfaction without excessive resource consumption
Solution Approach 2:
The waiting time is transformed from a static value to a dynamic parameter that adjusts based on user location. The robot monitors user proximity and extends the task performance time only when needed, creating an adaptive waiting mechanism that optimizes the balance between service quality and resource efficiency
3Adaptability or versatility
If the robot uses location-based task time adjustment, then the user service flexibility is improved, but the system complexity increases
Solution Approach 1:
The control system integrates multiple functions into a unified task management module: task allocation, user location monitoring, distance calculation, and dynamic time adjustment all work together in one system. This multi-functional integration achieves high service flexibility while managing complexity through consolidated control logic
Solution Approach 2:
The system merges the task scheduling function with the user monitoring function into a single integrated control process. By combining these previously separate functions, the system achieves flexible user service through a unified mechanism rather than multiple independent systems, thereby managing complexity while improving adaptability
Data Source
AI summary
A control method and system for a robot. The robot control method includes allocating a task to a robot, the task associated with a place and a target user, determining a location of the target user based on an image received from a camera, the camera being arranged in a space including the place, and controlling a performance time of the task based on the location of the target user and the place.