Robot Self-Diagnostics and Corrective Maintenance Coordination
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Solution Overview
Problem
Existing autonomous devices, such as robots, require substantial operational support and maintenance, especially when operating in complex environments without trained operators, and there is a need for efficient utilization and sharing of resources to maximize their effectiveness.
Innovation Solution
A system and method for automated operation and maintenance (O&M) that enables robots to self-evaluate their condition, perform corrective actions when possible, and request assistance when needed, utilizing a network infrastructure for coordination and resource sharing among robots and controllers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If robots operate autonomously in complex environments without trained operators, then robot independence and operational capability are improved, but operational support requirements and maintenance complexity increase
Solution Approach 1:
The robot performs self-diagnostics by evaluating its own operational conditions through sensors and processors. It automatically identifies deficiencies in its systems and initiates corrective actions without external intervention, enabling autonomous maintenance capabilities that reduce the need for trained operators while managing operational complexity
Solution Approach 2:
The robot continuously monitors its operational status and feeds this information back to its control system. This feedback mechanism enables real-time detection of deficiencies and triggers appropriate corrective actions, maintaining high automation levels while managing maintenance requirements through closed-loop control
2Productivity
If robots perform self-diagnostics and corrective actions, then operational efficiency and resource utilization are improved, but system complexity and coordination requirements increase
Solution Approach 1:
The robot performs self-diagnostics continuously during operation rather than waiting for failures. By detecting and addressing deficiencies proactively, the system maintains optimal operational efficiency and prevents disruptions, reducing the need for complex reactive maintenance coordination
Solution Approach 2:
The maintenance function is divided into distinct modules: diagnostic evaluation, deficiency identification, corrective action selection, and execution. This segmentation allows each function to be independently optimized and managed, reducing overall system complexity while maintaining high operational efficiency
3Adaptability or versatility
If multiple robots share resources and operate in a network, then resource utilization and effectiveness are improved, but coordination overhead and communication requirements increase
Solution Approach 1:
The robot controller serves multiple functions: it manages the robot's self-diagnostic processes, coordinates resource sharing with other robots, and handles corrective action execution. This multi-functionality reduces the need for separate specialized systems, improving resource utilization while minimizing communication overhead through a unified control interface
Data Source
AI summary
Aspects of the subject disclosure may include, for example, determining, by a robot of a group of robots, a condition of the robot to obtain a determined result. A corrective plan is identified responsive to the determined result indicating a deficiency and a determination is made as to whether the robot is configured to perform the corrective plan. The corrective plan is executed responsive to a determination that the robot is configured to perform the corrective plan. Alternatively, assistance of a robot controller is requested responsive to the determining indicating the robot is not configured to perform the corrective plan. The robot controller is requested to initiate performance of the corrective plan. Other embodiments are disclosed.