Inductive transfer assist-control for human-interface steering device

Human Adaptive Mechatronics (HAM) is the research area that covers the design for assisting the human operator in improving its skills. HAM devices are capable to measure/estimate the operator's skill/dexterity, while a realtime embedded assist-controller enhances machine operation, improving the overall human-machine performance. Nowadays, the demand for such devices has particular potential in many activities which involve manual operations. The main contribution of this work is the development of a human adaptive real-time electronic switching controller obtained from a fuzzy clustering inductive learning technique, for improving the operator's proficiency, based on the transfer learning information of an expert driver. Several tests were conducted under a hardware/software driving simulator setup, to prove the effectiveness of the proposed methodology.