In the initial version of the gripper, sensor feedback was simply collected but not utilized in decision-making processes, leaving it as an open-loop system. To enable more dynamic and adaptive control, I developed code that interfaced multiple sensors with an Arduino MEGA via a multiplexer. This setup allowed the Arduino to collect and process sensor data in real-time, paving the way for a closed-loop control system where sensor feedback could directly influence the gripper’s movements. This approach enhanced the gripper's precision and responsiveness, as it could now adjust its actions based on the immediate environment.