Robotic Arm System

Robotic arm systems are being actively developed to improve precision, efficiency, and safety across diverse applications. Current research focuses on enhancing control algorithms, such as Kalman filters and model predictive control (MPC), to achieve accurate and robust performance, even under challenging conditions like network latency or flexible arm dynamics. Researchers are also exploring innovative actuator designs, like variable gear-ratio systems, to optimize energy consumption and load-bearing capacity. These advancements are driving progress in areas such as remote surgery, automated manufacturing, and assistive robotics, improving both speed and accuracy of robotic manipulation.