Neural Network-Controlled 4-DOF Robotic Arm
Exploring artificial neural networks for inverse kinematics and trajectory planning in a four-degree-of-freedom robotic arm.
The study uses Python and MATLAB to investigate joint-angle mapping and computational approaches to robotic motion. The technical paper and presentation are in development.
Computational efficiency and end-effector precision are research objectives. No measured improvement, published paper or validated performance result is claimed here.