Gear Assembly

Gear assembly, a crucial process across numerous industries, focuses on efficiently and precisely joining gear components. Current research emphasizes automating this process using AI-driven methods, such as deep generative models (e.g., Transformers) for optimal component selection and deep reinforcement learning for robotic manipulation and control, often incorporating visual servoing and force feedback. These advancements aim to improve assembly speed, precision, and flexibility, particularly in high-precision manufacturing and flexible manufacturing systems, ultimately increasing efficiency and reducing costs.