Multi-Robot IoT Scheduling for Abnormal Condition Handling
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Solution Overview
Problem
Autonomous robots often face difficulties in independently completing tasks that involve abnormal conditions such as unexpected objects or environments, necessitating a method for multi-machine cooperation to enhance operational performance.
Innovation Solution
A multi-machine cooperation method where an autonomous robot detects abnormal conditions, determines if they can be independently processed, and if not, sends an assistance request to other devices in an Internet of Things, scheduling instructions for other robots or working heads to assist in processing the abnormality, enabling cooperative processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If an autonomous robot operates independently to complete tasks, then the robot maintains operational simplicity and autonomous control, but it cannot handle abnormal conditions that exceed its processing capabilities
Solution Approach 1:
The patent introduces a scheduling device as an intermediary between autonomous robots. When a robot encounters an abnormal condition it cannot handle independently, it sends an assistance request to the scheduling device, which then coordinates other robots or devices to process the abnormality. This mediator approach enables complex collaborative processing without requiring each individual robot to have all processing capabilities.
2Reliability
If multiple autonomous robots cooperate to process abnormal conditions, then the operational performance and problem-solving capability improve, but the coordination and communication complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where robots send assistance requests when encountering abnormal conditions, and the scheduling device provides coordinated responses. The system continuously monitors operational status and adjusts coordination based on real-time feedback about which robots are available, what resources are needed, and whether abnormal conditions have been resolved. This feedback loop enables reliable multi-robot cooperation while managing coordination complexity through structured communication protocols.
3Adaptability or versatility
If an autonomous robot sends assistance requests to other devices, then the ability to process complex abnormal conditions improves, but the response time and communication overhead increase
Solution Approach 1:
The patent implements preliminary action by having robots send assistance requests immediately when detecting abnormal conditions they cannot handle independently, rather than delaying for complex analysis. The scheduling device maintains ready pools of available robots and pre-established communication channels, enabling rapid response to assistance requests. This preliminary preparation of resources and communication pathways reduces the time penalty associated with inter-robot communication and coordination.
Data Source
AI summary
A multi-machine cooperation method, a scheduling device, and a multi-machine cooperation system are described. The multi-machine cooperation method includes: determining, by a first autonomous robot when detecting an abnormal condition during operation, whether the abnormal condition can be independently processed; and when the abnormal condition cannot be independently processed, sending, by the first autonomous robot, an assistance request to another device in an Internet of Things in which the first autonomous robot is located. In the specification, a multi-machine cooperation operation between autonomous robots or between an autonomous robot and another device can be implemented.