Guest Editorial Introduction to the Focused Section on Adaptive Learning and Control for Advanced Mechatronics Systems

Mechatronics, which cooperate with or substitute human operators to perform a growing variety of tasks, are getting increasingly complex in order to implement difficult operations with comprehensive utilization of sensors, vision modules, actuators, controllers, etc., and the intelligent algorithms with learning capability running behind. Nowadays, mechatronics task in a wide range of fields requiring intelligent and flexible actions in unstructured/fast-changing working environments, which brought great challenges to decision, planning and control of advanced mechatronics systems. In recent years, the adaptive and learning-based methods have shown their vitality on perception, recognition, situation understanding, communication and trajectory planning, etc., with a great amount of proved successful applications in many cross disciplines [A1]–[A3].