Robotic Surgery Control Alignment for Input and Arm Synchronization
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Solution Overview
Problem
Existing robotic surgery systems are prone to misalignment conditions, where input controls and surgical mechanical arms fail to synchronize, jeopardizing surgical success and patient safety.
Innovation Solution
A control system that includes processing circuitry to obtain and compare current input control and mechanical arm configurations, identifying misalignments and performing actions such as providing user indications, adjusting mechanical arm segments, or instructing input control joint movements to reduce misalignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If robotic systems use input controls to control surgical mechanical arms, then surgical procedures can be performed with enhanced capabilities, but misalignment conditions occur where input controls and mechanical arms fail to synchronize
Solution Approach 1:
The system continuously monitors the configuration of both input controls and mechanical arms using sensors and processing circuitry. When a misalignment is detected between the desired configuration (from input controls) and actual configuration (from mechanical arm sensors), the system generates corrective signals to realign them, ensuring continuous synchronization during surgical procedures.
Solution Approach 2:
A processing circuitry acts as an intermediary between input controls and mechanical arms. This intermediary component receives configuration data from both sources, compares them to identify misalignments, and coordinates corrective actions to restore synchronization, serving as a mediator that ensures reliable communication and coordination.
2Reliability
If the system continuously monitors and corrects misalignment between input controls and mechanical arms, then safety and reliability are improved, but system complexity increases
Solution Approach 1:
The processing circuitry performs multiple functions: it monitors configuration data from input controls, monitors configuration data from mechanical arm sensors, compares these data to identify misalignments, and generates corrective signals. By consolidating these multiple functions into a single multi-functional component, the system achieves high reliability without proportionally increasing complexity.
Solution Approach 2:
The system automatically detects misalignments and generates corrective signals without requiring external intervention. The processing circuitry self-monitors the synchronization status and self-corrects deviations, reducing the need for additional complex external monitoring and control systems.
Data Source
AI summary
The presently disclosed subject matter aims to a system and method including a processing circuitry configured to: obtain: (a) a current input control configuration of at least one input control of one or more input controls, and (b) a current mechanical arm configuration of at least one mechanical arm of one or more mechanical arms; identify a misalignment between at least one input control of the one or more input controls and its respective at least one mechanical arm of the one or more mechanical arms by comparing the current input control configuration and the current mechanical arm configuration of the at least one input control of the one or more input controls and its respective at least one mechanical arm of the one or more mechanical arms; and, upon identification of the misalignment, perform an action.


