5.0 Abstraction and Modeling

Deterministic System Model:

Assumptions:

• The system operates in a controlled environment with known and fixed inputs.

• The robot's movements and actions are precise and repeatable.

Description:

• The model simulates the suture robot's behavior during a standard suture procedure.

• Inputs such as tissue condition, suture material, and robot movement are predefined.

• The model predicts the robot's actions and outcomes with high accuracy.

Stochastic System Model:

Assumptions:

• The system operates in a real-world environment with unpredictable factors.

• Variability exists in tissue conditions, patient movements, and other external factors.

Description:

• The model accounts for uncertainties in the suture procedure, such as variations in tissue elasticity or unexpected movements.

• It uses probability methods to simulate the robot's behavior under different conditions.

• The model provides insights into the system's robustness and helps identify potential failure points.

Descriptive Process Model:

Components:

• User Interface (UI): Allows technicians to input procedures and monitor the robot's actions.

• Program Logic: Controls the robot's movements and actions based on the input procedure.

• Hardware: Includes the robot's mechanical components and sensors.

Description:

• The model outlines the sequence of steps involved in performing a suture procedure.

• It describes how the UI interacts with the program logic to execute the procedure.

• The model details the communication between the program logic and hardware components to perform the suturing action.

Prescriptive Process Model:

Improvements:

• Enhanced UI: Redesigned for better user experience and efficiency.

• Improved Program Logic: Optimized for faster and more accurate suturing.

• Upgraded Hardware: Updated with new components for better performance.

Description:

• The model proposes specific changes to the current system based on feedback and analysis.

• It outlines the steps to implement these improvements, including testing and validation procedures.

• The model aims to enhance the system's functionality, reliability, and user-friendliness.