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Johnson-Johnson-Robotics-Controls

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This repository contains a Control Systems Diagnostic T for Task 1 of the Johnson & Johnson Robotics Control System Simulation. The notebook provides exercises for diagnosing and optimizing control code in robotic systems. Participants can download the .ipynb file to work through diagnostics, analyze response times, and complete practical exercises

// repository documentation

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## File Overview

### Task 1: Control System Diagnostics
- **Notebook**: `Control_System_Diagnostics_Notebook.ipynb`
  - Diagnose and optimize the robotic arm’s control system.
  - Identify delays in commands like `rotate_joint`, `move_arm`, and `adjust_grip`.
- **Resource**: [Diagnostics Guide](./Diagnostics_Guide.pdf)
  - Detailed instructions on troubleshooting and optimizing control code.

### Task 2: Design Optimization
- **Notebook**: `Robotic_Arm_Design_Simulation.ipynb`
  - Simulate design modifications for improved response times and durability.
  - Test factors like efficiency and reinforcement using provided tools.
- **Resource**: [Design Optimization Principles](./Design_Optimization_Principles.pdf)
  - Learn the fundamentals of design optimization and real-world applications.

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## How to Use

1. Open the relevant `.ipynb` file in Jupyter Notebook or a compatible Python environment.
2. Follow the step-by-step instructions in each notebook to complete the tasks.
3. Use the provided templates and guides for documentation and proposals.

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## Contribution Guidelines
We welcome contributions to improve the repository! If you have suggestions or find issues, please create a pull request or submit an issue.

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## License
This repository is for educational purposes as part of the Johnson & Johnson Robotics Control System Simulation Program. The content and tools are not intended for commercial use.

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## Disclaimer
The robotic designs and simulations provided in this repository are educational approximations. They do not represent actual Johnson & Johnson robotic systems.

Johnson-Johnson-Robotics-Controls

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