IWACCE-PTNST'24: Positioning Technologies and Navigation Simulation Testing Session
Session chair: Prof. Weihua Mou, Department of Electronic Science and Technology, National University of Defense Technology, China
Invited Speakers:
Kun Liang, Beijing Jiaotong University, China
Zongnan Li, National University of Defense Technology, China
Zhicheng Lv, National University of Defense Technology, China
Pengpeng Li, National University of Defense Technology, China

IWACCE-SAMR' 24: SLAM and Mobile Robots
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-NEESSC' 24: New Energy and Energy Storage System Control
Session chair: Prof. Bin Duan, Shandong University, China
Introduction: The increasing demand for sustainable and renewable energy sources has propelled the development of new energy systems and advanced energy storage solutions. Effective control strategies for these systems are crucial to ensure reliability, efficiency, and integration with existing power grids. This special session will focus on cutting-edge research and developments in the control of new energy and energy storage systems. The session aims to bring together experts from academia, industry, and government to discuss the latest innovations, challenges, and future directions in this rapidly evolving field. The significance of this session lies in its potential to advance the understanding and implementation of robust control mechanisms that can enhance the performance and stability of renewable energy sources and storage technologies, thereby contributing to a more sustainable energy future.

IWACCE-SRACA' 24: Soft Robotics: Actuation, Control, and Application
Session chair: Dr. Yuan Han, Professor at 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-ASSM' 24：Actuators and Sensors Based on Smart Materials
Session chair: Assoc. Prof. Wei Min Huang, Nanyang Technological University, Singapore
Introduction: With the rapid changes in technology, smart materials are increasingly being used in a number of fields, especially in the field of actuators and sensors. In this context, IWACCE-ASSM'24 Session aims to bring together global experts, scholars and industry elites to build a diversified and open sharing platform to jointly promote the actuators and sensors based on smart materials.

IWACCE-NSMCS' 24: Nonlinear Systems Modeling and Control
Session chair: Prof. Yonghong Tan, Shanghai Normal University, China
Introduction: It is known hat smart sensors and actuators are involved in modern industrial systems. The nonlinear factors in those actuators and sensors all have significant impact on the performances of industrial systems. Therefore, this special session will welcome the scholars from all parts of the world to come together to discuss and exchange fresh ideas on the topic of modeling and control theories and application for nonlinear systems.

IWACCE-MLFDPIS' 24: Machine Learning Based Fault Diagnosis and Prognosis Methods for Industrial Systems
Session chair: Dr. Zhaohua Liu, Professor at 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.