Special Session Ⅰ: Flexible Electronics and Systems
Session Chair: Assoc. Prof. Yafeng Liu——Southwest University, China
Special Session Information:
Flexible electronic technology is one of important developing direction as well as an interdisciplinary research frontier in the next generation of information technology. It goes beyond displays and wearable systems for all pervasive human-machine-environment interfaces. With new materials, structures and methods and other cutting-edge breakthroughs, it is impacting our life and shaping the future in the field like the industrial internet of things, health care and others.
Below is an incomplete list of potential topics to be covered in the Special Session:
Theory construction and analysis of the flexible electronics and systems
Flexible bioelectrodes, Flexible tactile sensor, Flexible chemical sensor, etc
Theories for signal processing and machine learning
Emerging applications performances of flexible electronics and systems
Important Dates:
Abstract Proposals: Mar. 16, 2024
Full Paper: Apr. 17, 2024
Special Session Ⅱ: Artificial Intelligence in Robotics
Session Chair: Prof. Jian Fu——Wuhan University of Technology, China
Special Session Information:
The special session aims to gather researchers and practitioners from diverse disciplines to explore the recent advancements, emerging challenges, and applications in the field of artificial intelligence in robotics, particularly robot learning and transfer learning, which are crucial for enhancing robots' adaptability, autonomy, and application versatility in real-world scenarios.
Below is an incomplete list of potential topics to be covered in the Special Session:
Learning from human demonstrations in robotics
Transfer learning methods for robots
Reinforcement learning algorithms for robot skill acquisition
Multi-agent reinforcement learning for cooperative robot behaviors
Cognitive architectures for robot skill transfer and learning
Human-robot interaction and collaboration
Real-world applications of robot transfer learning and learning, such as in manufacturing, healthcare, and autonomous systems
Special Session Ⅲ: Advanced Control or Energy Management for Battery Systems
Session Chair: Assoc. Prof. Bin Wang——Xi'an Jiaotong University, China
Special Session Information:
Nowadays, Lithium Batteries have been used in so many fields such as electric vehicles (EVs), hybrid electric vehicles (HEVs), unmanned aerial vehicle (UAVs), electric ships, robotics, and so on. In practical applications, state estimation, control, and management are very important for the battery power system. For pure battery power system, battery state estimation and management can effectively prolong its service life and ensure the system safety. For the hybrid power system (HPS) including lithium battery, the advanced control or management strategies can significantly improve the overall system efficiency, as well as prolong the service life of the power system.
Below is an incomplete list of potential topics to be covered in the Special Session:
SOC, SOH or SOX estimation for Lithium Battery
Battery balancing technology
Advanced control strategies for battery or hybrid power systems
Energy management for EVs, HEVs, UAVs, HPSs, or electric ships, and so on
Important Dates:
Abstract Proposals: Apr. 15, 2024
Full Paper Submission: May 10, 2024
Special Session Ⅳ: Robot Self-detection, Self-prediction and Self-repair
Session Chair: Assoc. Prof. Naipeng Li——Xi'an Jiaotong University, China
Special Session Information:
The reliability and safety are the major concern when robots work automatically in outer space, wilderness or factories. It has become a research frontier to detect the health status of robots by themselves based on embedded sensing data, predict their own remaining useful life (RUL), and repair automatically through self-control. This Session aims to provide a platform for researchers to publish their breakthrough in the area of robot self-detection, self-prediction and self-repair.
Below is an incomplete list of potential topics to be covered in the Special Session :
Health condition monitoring of robotics based on embedded sensing data
Intelligent fault diagnosis of robotics using artificial intelligent techniques
Data and model fusion techniques for self-detection and self-prediction of robots
Remaining useful life prediction of critical components in robots
Fault-tolerant control and self-repair control of robots
Special Session Ⅴ: In-situ Inspection and Maintenance Robotics: Intelligent Sensing, Control, Locomotion, and Detection
Session Chairs: Assoc. Prof. Laihao Yang——Xi'an Jiaotong University, China
Assoc. Prof. Yu Sun ——Xi'an Jiaotong University, China
Special Session Information:
Intelligent inspection and maintenance are of great significance for the safety insurance of mechanical equipments in the field of aero-engine, aircraft, and nuclear power. However, the harsh inspection environment, long-narrow space, and scarce label data make it very challenging for the intelligent, efficient, and accurate inspection and maintenance of these equipments. Under this context, the concept of “robotics + autonomous intelligence” emerges in the field of inspection and maintenance for mechanical equipments, and attracts extensive attention from OEMs, end-users, and academics. The new paradigm of inspection and maintenance will promote robotics, sensors, and detection technology to an upper level due to the high demand on reachability in crammed space, multi-mode environment sensing, pattern identification, and classification accuracy. This topic mainly addresses the emerging theory and technology in the field of intelligent robotized in-situ inspection and maintenance for high-end mechanical equipments, and focuses on intelligent robotics, multi-mode sensing, and explainable machine learning, which is intended for intelligent, efficient, and accurate inspection and maintenance.
Below is an incomplete list of potential topics to be covered in the Special Session:
Latest progress of state-of-the-art technologies in the field of robotics, sensing, control, and pattern identification for intelligent inspection and maintenance
Emerging robotics technologies such as soft robotics, micro-crawling robotics, and bio-inspired robotics for intelligent inspection and maintenance
Embedded intelligence for robotics
Intelligent fault diagnosis and health monitoring of the key components (gear, bearing, etc.) in industrial robotics
Intelligent control and path planning for in-situ inspection and maintenance
Intelligent sensing technologies such as flexible sensing, multi-mode sensing integration, and damage imaging method
Special Session Ⅵ: Mobile Compound Operation Robot
Session Chair: Assoc. Prof. Chaoqing Min——Xi'an Jiaotong University, China
Special Session Information:
With the rapid development of automated assembly and logistics in industry, mobile compound operation robots have always attracted increasing attention. How to design a mobile robot with high performance is always a classical and hot topic.
Below is an incomplete list of potential topics to be covered in the Special Session:
Kinematics and dynamics modelling
Motion/vibration control of mobile robots
Mobile robot-based vision servoing technology
Mobile robot-based assembly and alignment
Path planning of single robot or multi robots
Special Session Ⅶ: Advanced Sensors and Measurement Technologies
Session Chair: Assoc. Prof. Xudong Fang——Xi'an Jiaotong University, China
Special Session Information:
In the era of smart sensing and the Internet of Things, advanced sensing and measurement technologies have created infinite convenience and more possibilities for human life and industry. This session aims to report the latest progress in fundamental science and engineering technologies in the field of sensors and measurement, to assist researchers carry out multi-disciplinary interaction, and present new discoveries in interdisciplinary fields such as physics, chemistry, biology, materials science, physics and engineering.
Below is an incomplete list of potential topics to be covered in the Special Session:
Theoretical research, structural design and simulations of sensors
Research on novel sensing mechanisms
Advanced measurement technology in chemistry, physics and biology
Development of new materials in sensing and measurement fields
Smart applications of sensing and measurement technology