PROSTHETIC Arm Design

Core Skills:
Embedded Systems (Arduino), Python, Sensor Integration, Signal Processing (EMG), Mechatronics, Data Acquisition, Control Systems, Hardware–Software Integration

Developed a bio-signal–controlled robotic arm as part of a collaborative program between Los Angeles City College and University of California, Los Angeles. Designed and implemented a control system that translates muscle-generated electrical signals (EMG) and motion sensor data into real-time mechanical actuation using Arduino and SparkFun components.

Integrated accelerometers and bio-signal sensors to enable accurate replication of human arm movements, allowing the system to perform object manipulation tasks such as gripping, repositioning, and release. This project demonstrates hands-on experience in mechatronics, sensor calibration, and end-to-end hardware–software system design.

Advisor:

Dr. Jayesh Bhakta: bhaktaj@lacitycollege.edu