IWACCE-SAMR' 25: SLAM and Mobile Robots SLAM
Session chair:Prof. Qixin Cao, Shanghai Jiao Tong University, China
Introduction:The core of SLAM (Simultaneous Localization and Mapping) is to enable a robot to simultaneously determine its own position in an unknown environment and construct a map of the environment. Mobile robotics involves robot hardware design, control systems, navigation algorithms, obstacle avoidance strategies, path planning, and multi-robot collaboration. Modern mobile robots can not only work in structured environments (e.g., factories, warehouses), but also perform tasks in complex unstructured environments (e.g., outdoor terrains, underwater, space.) SLAM and mobile robotics are closely related and rapidly developing fields that are driving robotics in the direction of greater intelligence, autonomy, and practicality. As technology continues to advance, we can expect to see more innovative robotic applications in the future, improving people's quality of life and work efficiency.

IWACCE-PTNST'25: Positioning Technologies and Navigation Simulation Testing Session
Session chair: Prof. Weihua Mou, Department of Electronic Science and Technology, National University of Defense Technology, China

IWACCE-SRACA' 25: Soft Robotics: Actuation, Control, and Application
Session chair: Prof. Yuan Han, Harbin Institute of Technology (Shenzhen), China
Introduction: Compared to traditional rigid robots, soft robots exhibit strong specificity in actuation, sensing, and control. Currently, new types of soft actuators, sensors, and circuits are emerging in large numbers. This Special Session will focus on the actuation, sensing, control, and application of soft robots, publishing a series of high-level papers to showcase the latest research findings in the field of soft robots and promote the transition of soft robotics from theory to application.

IWACCE-MCUPS’25: Modeling and Control of Ultra Precision Systems
Session chair: Prof. Ruili Dong，Donghua University, China
Introduction: In the frontier fields such as modern advanced manufacturing, aerospace, and semiconductors, ultra-precision electromechanical systems are a necessary and important part. With the rapid development of technology, the requirements for their precision, stability, and reliability are continuously increasing, which also prompts an urgent need for in-depth research in this field. Therefore, we will welcome scholars and researchers in this field from all over the world to gather together, share the latest research results and practical experience, promote academic exchange and cooperation, drive the innovation and development of theories, and thereby facilitate the progress and development of related industries.

IWACCE-MLFDPIS' 25: Machine Learning Based Fault Diagnosis and Prognosis Methods for Industrial Systems
Session chair: Prof. Zhaohua Liu, Hunan University of Science and Technology, China
Introduction: The aim of this special section is to bring together the research accomplishments provided by researchers from academia and the industry. The other goal is to show the latest research results in the field of fault diagnosis and prognosis technology and understand how machine learning strategy can influence it. We encourage prospective authors to submit related distinguished research papers on the subject of both: theoretical approaches and practical case reviews.