Raspberry Pi based Pick and Place Mobile Robot
- Designed a Raspberry Pi-based system to respond to commands and autonomously locate and retrieve objects to their original positions.
- Developed a custom dataset for object detection, enhancing the system's recognition capabilities.
- Conducted in-depth analysis of YOLO and Faster R-CNN detection algorithms for optimal performance in object localization.
- Compared the effectiveness of MX Net, TensorFlow, and TensorFlow Lite frameworks for the project's machine learning components.
- Acquired proficiency in programming Servo Motor-based gripper, radar sensor, Johnson Geared motor, and motor drivers using the Python programming language.
- Demonstrated knowledge and skills in implementing various hardware components for robotic applications, ensuring seamless integration.
- Applied for a patent in India, which is still pending.
