Manipulator Arm Assignment Balancing for Wear Distribution
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Computer-assisted devices with modular components, such as manipulator assemblies, experience uneven loading and wear due to varying types of instruments and procedures, leading to performance degradation and potential failure, necessitating a system to manage and balance the use of these components.
Innovation Solution
A device management system that includes a control system with processors and memory to select assignments for manipulator arms based on historical data, such as usage and test data, to distribute loading and wear more evenly, and to designate appropriate manipulator arms for specific medical procedures, using randomized or pseudorandom methods to allocate tasks and reduce over-use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manipulator arms are assigned to instruments and procedures without a management system, then operational simplicity is maintained, but uneven loading and wear occur leading to performance degradation
Solution Approach 1:
The manipulator arm system performs self-management through automated assignment selection. The control system automatically selects assignments based on historical data without requiring external intervention, allowing the system to self-regulate wear distribution across manipulator arms while maintaining operational reliability
Solution Approach 2:
The system uses historical usage data as feedback to inform future assignment decisions. By analyzing past performance and wear patterns, the control system adjusts assignments to balance loading across manipulator arms, creating a closed-loop feedback mechanism that prevents performance degradation
2Duration of action of stationary object
If manipulator arms are used uniformly across all assignments, then ease of operation is maintained, but certain arms experience over-use and premature failure
Solution Approach 1:
The assignment allocation is made dynamic rather than static. The control system continuously evaluates historical data and adjusts manipulator arm assignments in real-time, allowing the system to adapt to varying usage patterns and prevent any single arm from experiencing consistent over-use, thereby extending overall system lifespan
Solution Approach 2:
The system changes the parameter of assignment allocation from uniform distribution to differentiated distribution based on historical performance data. By modifying how assignments are distributed across manipulator arms, the system extends their operational lifespan while maintaining ease of operation through automated control
3Reliability
If historical data is collected and analyzed for each manipulator arm, then wear distribution is balanced, but data processing complexity increases
Solution Approach 1:
The control system performs multiple functions using a single integrated platform: it collects historical data, analyzes wear patterns, selects optimal assignments, and monitors manipulator arm performance. This multi-functional approach balances wear distribution while managing data processing complexity within a unified system architecture
Data Source
AI summary
A manipulator device management system can include a manipulator device comprising a plurality of manipulator arms and a control system. The control system can have one or more processors configured to perform operations comprising: selecting, for a first manipulator arm of the plurality of manipulator assemblies, a first assignment from a plurality of assignments available to the first manipulator arm; and causing the first manipulator arm to adopt the first assignment. The first assignment can be available to at least two manipulator arms of the plurality of manipulator arms. The first assignment can designate at least one operating parameter selected from the group consisting of a location for the first manipulator arm and a type of instrument to be used with the first manipulator arm.