Trajectory Optimization for Industrial Painting Robots

This cutting-edge applied research project revolutionizes robotic manufacturing by developing an intelligent software engine that automatically plans, simulates, and optimizes painting robot trajectories. By integrating state-of-the-art computational geometry, machine learning, and multi-objective optimization, the system drastically increases paint transfer efficiency, guarantees coating homogeneity, and cuts cycle times across automated assembly lines.