Marvelous Movements: Unleashing the Power of Gesture Control in Our Robotic Arm
Revolutionary gesture-controlled robotic arm system using advanced sensor technology
Led the development of an innovative gesture-controlled robotic arm system in collaboration with my colleague
Siri. This groundbreaking project represents a significant advancement in
human-machine interaction, combining cutting-edge sensor technology with intelligent robotics to create an
intuitive and responsive control system that bridges the gap between human intention and mechanical precision.
📖 Project Abstract
Industrial robotic arms have transformed manufacturing environments by providing efficient and precise
automation solutions. This project aimed to build a robotic arm that can be controlled by gestures utilizing
MPU6050 sensors and flex sensors. By interpreting human gestures and
translating them into precise robotic movements, we created a seamless interface between human intention
and mechanical action. The system demonstrates exceptional accuracy in gesture recognition with real-time
response capabilities, making it suitable for various industrial and educational applications.
The project achieved a 95% accuracy rate in gesture recognition and successfully implemented six distinct
control gestures for comprehensive robotic arm manipulation including pick, place, rotate, and grip operations.
🙏 Acknowledgments
I extend my deepest gratitude to my supervisor, Benny Lövström, whose
unwavering support, guidance, and expertise were instrumental in shaping this project from conception to
completion. His insights into robotics and control systems provided the foundation for our success.
I also express sincere thanks to Irina Gertsovich, our esteemed examiner
and program manager. Her meticulous evaluation and constructive feedback elevated the quality of our
research and challenged us to achieve excellence in every aspect of the project.
This accomplishment would not have been possible without their mentorship, expertise, and belief in our potential.
🛠️ Technologies & Components
Arduino UNO Rev3
MPU6050 Sensors
Flex Sensors
Servo Motors
C++ Programming
Signal Processing
Real-time Systems
Human-Machine Interface
Gesture Recognition
Embedded Systems