(as Local Arrangement Chair) The IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) is a flagship conference of IEEE/ASME Transactions on mechatronics. The AIM 2023 was held on June 27-July 1 (Tue-Sat), 2023, in Seattle, Washington, USA. Check out an exciting conference program at https://aim2023.org!
(as Publication Chair) The AIM 2024 will be held on July 15-July 18, 2024, in Boston, MA, USA. The sponsors and organizers of AIM 2024 invite submissions describing original work, including but not limited to Actuators, Automotive Systems, Bioengineering, Data Storage Systems, Electronic Packaging, Fault Diagnosis, Human-Machine interfaces, Human-Robot Interaction/Collaboration, Human Factors in Mechatronics Systems, Industry Applications, Information Technology, Intelligent Systems, Machine Vision, Manufacturing, Micro Electro-Mechanical Systems, Micro/Nano Technology, Modeling and Design, System Identification and Adaptive Control, Motion Control, Vibration and Noise Control, Neural and Fuzzy Control, Opto-Electronic Systems, Optomechatronics, Prototyping, Real-Time and Hardware-in-the-Loop Simulation, Robotics, Sensors, System Integration, Transportation Systems, Smart Materials and Structures, Energy Harvesting, and other frontier fields. Check out an exciting conference program at https://aim2024.org!
(as Associate Editor 2022-2025) The IEEE/ASME Transactions on Mechatronics publishes high quality technical papers on technological advances in mechatronics. A primary purpose of the IEEE/ASME Transactions on Mechatronics is to have an archival publication which encompasses both theory and practice. Papers published in the IEEE/ASME Transactions on Mechatronics disclose significant new knowledge needed to implement intelligent mechatronics systems, from analysis and design through simulation and hardware and software implementation. The Transactions also contains a letters section dedicated to rapid publication of short correspondence items concerning new research results.
(as Program Chair in 2022 and 2025) MECC aims to serve the scientific and engineering communities with interests in the modeling, estimation, and control of cross disciplinary mechanical systems to provide a platform for the dissemination and discussion of the state of the art in relevant research areas; and to create opportunities for networking with colleagues. The conference features conference awards, contributed sessions, invited sessions, workshops, special sessions, plenary talks, keynote speeches, student programs, as well as committee meetings, industry programs, and social functions
(as Publicity Chair) As a flagship conference focusing on mechatronics and intelligent systems, AIM 2020 brought together an international community of experts to discuss the state-of-the-art, new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, automation, industrial electronics, and related areas. 2020 marked the first virtual AIM in the history of the conference!
(as Publicity Chair) The IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) is a flagship conference of IEEE/ASME Transactions on mechatronics. The AIM 2021 will be held on July 12 – 16, 2021 at TU Delft, The Netherlands. It will bring together an international community of experts to discuss the state of the art for new research results, perspectives of future developments, and innovative applications relevant to mechatronics, robotics, control, and automation.
(as Guest Editor) Owing to the explosive advancements in recent years in the areas of computational intelligence, material synthesis, and device integration, a new era of intelligent robotics, featuring unprecedented capabilities of sensing, actuation, and decision making, has arrived. Various newly developed robotic systems have penetrated into virtually all industrial sectors, ranging from manufacturing, energy, aerospace and naval, infrastructure, to health care and service, etc. They possess remarkably enhanced performances in terms of accuracy, adaptivity, reliability, and autonomy, and are poised to change fundamentally our modalities of working and living. The new accomplishments exemplify the collaborative efforts by academia and industry that are currently accelerating. Aiming at documenting and disseminating the progresses and identifying growth opportunities, this focused section showcases a number of recent technological achievements in the learning and control of robotic systems. It includes nine papers that share the common theme of robotic systems utilizing complex or heterogeneous data in their design and control through advanced learning and estimation techniques.