Controller App :
Robotic Arm Controller App embodies a state-of-the-art web application meticulously crafted for the precise control and management of 3D printed robotic arms. This versatile tool caters to both hobbyist enthusiasts and industrial applications, delivering intuitive controls and advanced functionalities. The application comprises two essential components: a graphical user interface (GUI) and a server. The server component communicates directly with an Arduino chip, which orchestrates the intricate movements of stepper motors within the 3D printed robotic arm.
Developed using Next.js for a robust and responsive frontend experience..
Utilizes server-side rendering for enhanced performance and SEO optimization.
Implements WebSocket communication for real-time updates between the GUI, server, and Arduino.
Facilitates seamless control of robotic arm movements.
Integrates @react-three/drei and Three.js for immersive 3D visualization capabilities.
Enhances user interaction with dynamic and responsive 3D modeling of the robotic arm.
Utilizes efficient data transfer protocols for communication between the server and Arduino.
Implements data synchronization techniques to ensure precise and synchronized movements.
Designs an intuitive GUI for ease of use across various devices and screen sizes.
Enhances accessibility with user-friendly controls and interactive features.
Implements secure communication protocols to protect data integrity and user privacy.
Ensures robust error handling and recovery mechanisms for uninterrupted operation.
Utilizes the serialport library for establishing communication with an Arduino board via a specified COM port and baud rate.
Implements a SerialPort instance to manage serial communication, ensuring reliable data transfer between the server and the Arduino.
Defines RESTful endpoints to receive HTTP GET requests for controlling the stepper motors of the 3D printed robotic arm.
Parses and validates user input parameters to extract ankle, direction, and steps/angle values for motor control.
Implements a controlStepper function to format and send control commands to the Arduino via serial communication.
Handles different movement directions and calculates the corresponding number of steps based on the angle provided.
Includes error handling to manage invalid user inputs, such as unrecognized movement directions, and returns appropriate HTTP status codes.
Adheres to code quality standards with ESLint and Next.js linting configurations.
Configures CORS headers (Access-Control-Allow-Origin and Access-Control-Allow-Headers) to allow requests from a specified origin, facilitating cross-origin communication between client and server.
Employs Git for version control, ensuring a collaborative and organized development process.
Developed using TypeScript for enhanced code readability, maintainability, and static typing. Applies ESLint and Next.js linting configurations to maintain high code quality.
Regularly updates dependencies to leverage the latest features and security patches. Follows industry best practices in web development for scalability and maintainability, this app has a lot of space to grow and to become better, starting with the UI 3D models and animations can be added, also the more precise sequence calculation ui, for the backend more precise motor controlling and more precise movement calculation can be added, also the gripper motors should also be controled using this server.
In conclusion, this server-side implementation showcases robust traits essential for controlling a 3D printed robotic arm via a web application. By leveraging Node.js with Express and the serialport library, it establishes a seamless connection with an Arduino microcontroller. This setup enables precise stepper motor control based on user-defined commands received through RESTful endpoints. Error handling ensures reliable operation, while CORS configuration supports secure and controlled interaction with clients. Overall, this server code forms a foundational component in a sophisticated system for managing robotic arm movements, catering to both hobbyists and industrial applications with its intuitive control capabilities.
