Special Sessions

Intelligent Robotic Systems

Sungshin Kim (Pusan National University, Korea)

The object of this session is to present intelligent systems and applications for robotics and discuss how it applies to the real world. Robotics is a fusion of multidisciplinary technologies. There are various research fields such as manipulators, sensing technologies including vision sensor, mobile robots, and so on. Robotic research field is continuously being studied and developed to improve the quality of life. Recently, research on robotics have been actively conducted as the interest in factory automation according to the 4th industrial revolution.
A manipulator is a robot widely used in the industrial fields. Among manipulator-related technologies, grasping technology is an indispensable field in manipulator research. For grasping an object, the role of the gripper attached to the end of the robot arm is important. Therefore, the research on a gripper to grasp accurately an object is essential. In addition, there are numerous studies for manipulator control system. Also, intelligent systems have been extensively researched with the development of deep learning in these days. Intelligent systems are being applied in various fields including robotics.
There are many studies of applying deep learning to robot vision systems in a variety of ways since deep learning research is being actively conducted in the image processing field. The image data acquired with a vision sensor can contain a lot of information. Therefore, the utilization of vision systems is highly increased in the field of robotics including object detection and recognition, position estimation, inspection monitoring systems, and so on. Deep learning algorithms have the advantage of extracting features automatically. Based on this advantage, it is essential to develop an algorithm that can process image data accurately and efficiently to achieve the purpose. Since robots are continuously being researched and developed to interact with humans, research on how to identify humans, the control system for collaboration, and safety are being conducted.

Intelligent System for Smart Agricultural Robotics

Young-Jae Ryoo (Mokpo National University, Korea)

This session deals with intelligent systems for smart agricultural robotics. The agricultural industry is rapidly embracing technological advancements to increase efficiency and productivity. One of the most promising technologies is the use of robots in smart greenhouses. These robots can perform various tasks such as monitoring plant growth, harvesting, and spraying pesticides and fertilizers. They can also reduce labor costs, increase crop yields, and improve the overall quality of the crops. Smart greenhouses equipped with sensors and automation systems are already being used to control the environment, including temperature, humidity, and lighting. However, the integration of robots can further enhance the efficiency and precision of the greenhouse operation. These robots can navigate through the greenhouse using various sensors and algorithms, making decisions based on data collected from the environment and the plants

Application of AI/IoT for Social Safety

Yasutoshi NOMURA (Ritsumeikan University, Japan)

With the increasing number of accidents and natural disasters caused by aging social infrastructure, mitigating and containing the damage caused by these accidents and disasters is an urgent issue. In this session, we will discuss the applicability and actual applications of Artificial Intelligent, Intelligent Systems, Mixed Reality, and so on.

High performance knowledge system and its application to intelligent systems for the elderly

Jin-Woo Jung (Dongguk University, Korea)

This organized session aims at discussing the basic principles and methods of designing care systems for the elderly based on high performance knowledge engineering.
Topics of interest include, but are not limited to theory and application of:
– Machine/Deep learning and Artificial Intelligence for the elderly
– Action/Gesture Recognition for the elderly
– Internet of Things for the elderly
– Sensor networks/Intelligent sensors technology and application for the elderly
– Bioinformatics for the elderly
– Weakness/Secure Coding/Evaluation System/Vulnerability evaluation
Papers are invited from prospective authors with interest on the related areas

Signal Processing and Communications for Robots

Suk-seung Hwang (Chosun University, Korea)

The signal processing and communications, which have a variety of application areas, are core techniques for robots. This session is not interested in only the signal processing and communication technologies, but also sensor, vision, machine learning, device, localization, and various electronic technologies, for robots

Signal Processing and Communications for Robots II

Tae-yun Kim (Chosun University, Korea)

The signal processing and communications, which have a variety of application areas, are core techniques for robots. This session is not interested in only the signal processing and communication technologies, but also sensor, vision, machine learning, device, localization, and various electronic technologies, for robots

Intelligent System Using Machine Learning

Yong-Tae Kim (Hankyong National University, Korea)

Currently, many intelligent systems are being developed in various fields due to the development of artificial intelligence, machine learning and deep learning technology. Machine learning and deep learning algorithms have been applied in commercial, industrial, military, agriculture and security applications. Visual SLAM, pose estimation, object detection and autonomous navigation are also major application of machine learning technology. This special session welcomes research results and discussions on intelligent system using machine learning and deep learning in various fields.

Autonomous Ship Navigation Systems

Joo-sung Kim (Mokpo National Maritime University, Korea)

The increasing need for water-based navigation has created a strong demand for the maritime autonomous surface ships (MASS). In particular, research in the fields of path planning, autonomous navigation, and collision avoidance has started to become increasingly relevant for maritime transport. The use of artificial intelligence (AI) for the development of the MASS can effectively resolve the increasing need for water-based navigation and safety at the sea. An important motivation of the Special Session for autonomous functions and increased intelligence in ships is to improve the safety and efficiency of operations, and to decrease the environmental footprint.

Intelligent control and systems

Chen-Chia Chuang (National Ilan University, Taiwan)
Jin-Tsong Jeng (National Formosa University, Taiwan)

The rapid advancements in artificial intelligence (AI) have had a profound impact on various fields, and medicine is no exception. With the potential to transform healthcare delivery, AI has emerged as a powerful tool in improving diagnosis, treatment, and patient care. This proposed session, “Artificial Intelligence in Medicine,” aims to explore the innovative applications and promising potential of AI in the medical domain. By bringing together experts and researchers from different disciplines, this session seeks to foster discussions on the latest developments, challenges, and opportunities in this rapidly evolving field.

Generative AI and Law

Jung-Sook Kim (Kimpo University, Korea)

The special session on the study of the personal information protection method and copyright for Generative AI will explore how the laws can be update to perfectly protect the personal information and copyright from very large data sources which are images, personal data, prompt input data, and etc for designing Generative AI.

Smart Water Management for Water Supply Facilities

hohyun Lee (K-water, Korea)
sungyun Kim (K-water, Korea)

The government is promoting a smart AI water purification plant project and a smart dam safety management project to modernize water management facilities that are important for public safety. We would like to discuss the application of digital twin and AI technologies used in this project, as well as AI component technologies

Maritime Positioning and Navigation

Sang Hyun Park (Korea Research Institute of Ships and Ocean Engineering, Korea)

In the maritime sector, the IMO (International Maritime Organization) and the IALA (International Association of Maritime Aids to Navigation and Lighthouse Authorities) play a significant role as primary standardization bodies responsible for developing and overseeing international standards for Positioning, Navigation, and Timing (PNT) services. Meter-level accuracy in positioning information (absolute position) is mandated as crucial information for ensuring maritime safety. Currently, the sole service capable of delivering meter-level accuracy in positioning information is the satellite-based augmentation services of GNSS (Global Navigation Satellite System), and the aforementioned international organizations are tasked with establishing, revising, and managing international standards for such services.