Special Session
Special Session Ⅰ: Control and Filtering of Switching Intelligent Unmanned Systems
Session Chair: Dr. Mengshen Chen——University of Shanghai for Science and Technology, China
Keywords: Intelligent Unmanned Systems, Switching Systems, Control, Filtering
Information: Intelligent unmanned systems are based on the cross-fusion development of frontier fields such as artificial intelligence and big data, utilizing robots, unmanned vehicles, drones, and unmanned boats as physical carriers. This system is designed to intelligently achieve autonomy, self-governance, and collaboration, ultimately completing complex tasks as an integrated system. Besides, due to the influence of the actual environment, the structure and parameters of many intelligent unmanned systems will experience abrupt changes. Considering that switching systems can simulate this situation very accurately, some in-depth research is needed on the control and filtering issues of switching intelligent unmanned systems. Scholars in related fields are welcome to submit manuscripts.
The topics to be covered include, but are not limited to:
Multi-agent systems
Networked control systems
Markov systems
Important Date: Submission Deadline: July 23, 2024
Special Session Ⅱ: AI-empowered Mobile Edge Computing
Session Chair: Dr. Hai Xue——University of Shanghai for Science and Technology, China
Keywords: Mobile Edge Computing, Resource Allocation and Orchestration, Resource Pricing Strategy, Offloading Decision-making, Service Migration, Edge Caching
Information: With the fast propagation of IoT, mobile edge computing (MEC) as a new computing paradigm has attracted great attention from both academia and industry. MEC sinks the cloud resources to the network edge closer to end devices, which mitigates the inherent problem of cloud computing, such as serious delays due to long-distance communication. In the meantime, the fast development of AI has created growing excitement and much debate about its potential to revolutionize ICT. To this end, researchers have conducted a couple of research by integrating AI techniques with MEC.
However, to embrace the promising mobile edge computing, there are many challenges in enabling technologies, such as resource allocation and orchestration, resource pricing strategies, etc. This special session aims to present state-of-the-art research in the area of AI-empowered mobile edge computing for experts to disseminate their recent advanced works, views, and ideas on future directions in this field.
The topics to be covered include, but are not limited to:
Intelligent architectures and models for edge deployment
Edge resource allocation and orchestration mechanisms
Resource pricing strategies in mobile edge computing
Advanced edge offloading techniques
Advanced edge caching techniques
Advanced service migration techniques for mobile edge computing
Intelligent offloading decision-making techniques for mobile edge computing
Swarm intelligence for mobile edge computing
Mobile edge computing for smart cities, UAVs, and IoVs
Case studies of a new computing architecture for sustainable mobile edge computing
Important Date: Submission Deadline: July 10, 2024
Special Session Ⅲ: Deep Learning Algorithms and Their Applications in Computer Vision
Session Chair: Prof. Chaofeng Li——Shanghai Maritime University, China
Information: Currently, Artificial Intelligence methods, represented by Deep Learning, are playing a transformative role in many fields, especially in Computer Vision. This special session will delve into the exploration of novel Deep Learning algorithms and their application prospects in related fields of Computer Vision, such as Image Dehazing, Image Deraining, Image Enhancement, Object Detection and Tracking in images, Image Quality Assessment, Visual Quality Monitoring, etc.
The topics to be covered include, but are not limited to:
Machine Learning
Deep Learning
Computer Vision
Image Dehazing
Image Enhancement
Image Quality Assessment
Object Detection
Image Segmentation
Video Object Tracking
Important Date: Submission Deadline: July 10, 2024
Special Session Ⅳ: Evolutionary Computation and Swarm Intelligence for Solving Dynamic / Large-Scale / Multi-Objective Optimization Problems
Session Chair: Prof. Wei Song——Jiangnan University, China
Keywords: Evolutionary Computation, Swarm Intelligence, Dynamics, Large-scale, Multi-Objective, Optimization
Information: The field of optimization is experiencing a significant transformation driven by advances in computational techniques and artificial intelligence (AI). Dynamic / large-scale / multi-objective optimization （D/L/MO） algorithms attempt to handle complex optimization problems with multi-objectives and/or large-scale decision variables in a changing environment. This session will provide an in-depth understanding of D/L/MO and corresponding diverse applications. We will:
*Solving D/L/MO Problems: Understanding D/L/MO knowledge, principles, capabilities, and emerging techniques for solving D/L/MO problems.
*Exploring Real-World Applications: Learn how D/L/MO algorithms are applied in various scenes such as engineering, logistics, finance, healthcare, etc.
*Seeking Challenges and Opportunities: Finding challenges of existing D/L/MO algorithms, such as reducing computational complexity, accelerating convergence, and preventing premature convergence. Exploring the opportunities that efficient D/L/MO algorithms present in handling real-world problems.
This session is designed for researchers, practitioners, and students interested in D/L/MO. Whether you are an expert or new in the field of D/L/MO, this session will provide valuable insights and foster discussions on how D/L/MO algorithms can address complex optimization problems.
The topics to be covered include, but are not limited to:
Novel algorithms for solving D/L/MO problems, including evolutionary computation, swarm intelligence, reinforcement learning, transfer learning, etc
Hybrid algorithms combining evolutionary computation with other optimization algorithms or learning techniques
Tailored algorithms for solving specific types of D/L/MO problems, e.g., sparse problems, constrained problems, expensive problems, multimodal problems, and others
Applications of existing algorithms to D/L/MO problems in emerging areas, e.g., machine learning, data mining, manufacturing, scheduling, electrics, economics, bioinformatics, medicine, and others
Performance assessment, theoretical analysis, and benchmarking of algorithms for D/L/MO problems
Future directions in D/L/MO: Emerging trends, future research directions, and potential breakthroughs in D/L/MO
Important Date: Submission Deadline: August 20, 2024
Special Session Ⅴ: Innovative Design, Analysis, Fabrication, Actuation and Control of Adaptive Robots
Session Chair: Assoc. Prof. Jieyu Wang——Shanghai University, China
Keywords: Adaptive Robot, Mobile Robot, Morphing Robot, Multiple Modes, Soft Robot
Information: Traditional robots, which are composed of fixed parts and rigid materials, have difficulty in accomplishing increasingly complicated tasks. In contrast, adaptive robots like reconfigurable robots, morphing/deploying robots and soft robots have remarkable advantages in achieving various modes and functions, and have the potential to be widely used in numerous applications such as exploration and rescue devices. This session aims to bring up the researchers to share new methods and new findings for innovative design, analysis, fabrication, actuation and control of adaptive robots.
The topics to be covered include, but are not limited to:
Reconfigurable Robots
Origami Inspired Robots
Morphing/Deploying Robots
Novel Mobile Robots
Robots with Multiple Modes/Functions
Energy Efficient Robots
Soft/compliant Robots
Important Date: Submission Deadline: August 10, 2024
Special Session Ⅵ: Multirobot Collaboration and Its Applications
Session Chair: Assoc. Prof. Jiyu Cheng——Shandong University, China
Keywords: Multirobot System, Collaborative Perception, Collaborative Decision-making, Autonomous Learning
Information: In recent years, as multi-robot systems have been increasingly utilized in various fields such as power inspection, autonomous unmanned vehicle fleets, intelligent warehousing, and logistics, multi-robot technology has gradually become a research hotspot in the field of robotics. In many complex application scenarios, multiple robots cannot pre-acquire environmental map information and need to operate in unknown environments. In such application scenarios, multirobot collaboration becomes particularly important. Therefore, it makes great sense to devote more efforts exploring its potential and shine lights on its future developing direction.
The topics to be covered include, but are not limited to:
Multirobot Exploration and Navigation Algorithms
Machine Learning and Artificial Intelligence in Multirobot Systems
Sensor Fusion and Perception for Multirobot Systems
Multirobot Systems and Heterogeneous Robot Teams
Applications of Autonomous Robot Systems and Swarm Intelligence
Important Date: Submission Deadline: August 20, 2024