Session Chair: Prof. Jiegang Peng——University of Electronic Science and Technology of China, China

Information: This special session aims to explore the cutting-edge developments in bionic robots and bionic intelligence, emphasizing systems that draw inspiration from biological entities. It will cover a wide array of topics, including underwater robotics, terrestrial bio-inspired robots, and algorithms that mimic natural processes, providing insights into the latest advancements and future directions in the field.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Design and Realization of Micro-Robot Based on Bionic Principle

• Material and Structure Design of Bionic Robots

• Automation and Intelligence of Bionic Robot

• Smart Materials and Sensing Technology for Bionic Robots

• Multimodal Perception and Fusion of Bionic Robots

• Biocompatibility Study of Bionic Robots with The Environment

• Autonomous Navigation and Obstacle Avoidance for Bionic Robots

• Underwater Bionic Intelligent Navigation Technology

• Localization and Tracking of Underwater Bionic Robots

• Perception and Decision Making for Terrestrial Bionic Intelligence

• Movement and Motion Planning of Land Bionic Robots

• Flight Dynamics of Aerial Bionic Robots

• Vision and Perception for Aerial Bionic Intelligence

• Collaboration and Formation Control of Airborne Bionic Robot

• Machine Learning and Deep Learning for Bionic Robots

• Convergence of Bionic and Artificial Intelligence

• Meta-Heuristic Algorithms in Robotics

• Adaptive Learning Algorithms for Bionic Intelligent Systems

• Application of Bionic Intelligence in Autonomous Robot Learning

• Dynamic Tracking and Path Planning Algorithms for Bionic Robots

• Application of Biological Neural Networks in Bionic Intelligence

• Hardware and Software Co-Design Study of Bionic Robots

• Cross-Border Integration of Bionic Robots with Artificial Intelligence

• Internet of Things and Other Technologies

• Energy Management and Range Enhancement Strategies for Bionic Robots

• Future Bionic Robot Technology Trends and Development Direction

Session Chair: Assoc. Prof. Jianwen Huo——Southwest University of Science and Technology, China

Assoc. Prof. Liguo Tan——Harbin Institute of Technology, China

Keywords: Multi-UAV Collaboration, Aerial Robotic Arms, Adaptive Control, Disturbance Rejection, Collaborative Decision-making, Environment Interaction

Information: This session focuses on the challenges and solutions faced by UAV co-manipulation system equipped with robotic arms when they interact with the environment. For example, how does the system demonstrate robustness and stability when faced with internal dynamics interference and external environment interference? The conference will explore how to achieve precise manipulation through advanced control and perception algorithms to ensure the completion of complex tasks. Participants will also learn about the application of aerial co-manipulation system in people's livelihood and discuss the development prospects of future technologies.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Advanced Control, Perception, and Planning Methods to Enhance Robot Collaboration and Intelligence
  

• Advantages of Aerial Co-Manipulation System in Handling Complex Tasks

Submission Deadline: October 6, 2024

Session Chair: Lin Gan(researcher)——Northwestern Polytechnical University, China

Keywords: Visual, Auditory, Brain, Information, Perception, Human-Machine Integration

Information: This special session focuses on the forefront technologies related to human-machine multimodal information fusion perception. For example, constructing data fusion models based on visual and auditory perception mechanisms.

Below is an incomplete list of potential topics to be covered in the Special Session:

• Visual and Auditory Perception and Human-machine Interaction Modes

• Human-machine Integrated Information Perception

Submission Deadline: October 10, 2024

Session Chair: Assoc. Prof. Naipeng Li——Xi'an Jiaotong University, China

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

Session Chairs: Assoc. Prof. Laihao Yang——Xi'an Jiaotong University, China

                          Assoc. Prof. Yu Sun ——Xi'an Jiaotong University, China

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

Session Chairs: Prof. Xiaolin Qin——University of Chinese Academy of Sciences, China

Prof. Long Jin——Lanzhou University, China

Keywords: Image Recognition, Intelligent Decision Making, Multimodal Computing, Generative Model, Multi-agent System, Automatic Driving

Information: This topic focuses on intelligent perception and intelligent computing theory, algorithm and applications, focusing on intelligent perception mechanism, learning method, multi-modal intelligent computing and multi-sensor human-computer interaction of industrial automation, intelligent perception, decision planning and execution system of robots, intelligent perception and information processing of engineering controls, generative model, intelligent optimization, multi-agent and autonomous control systems, etc.

Intelligent perception and intelligent computing theory, algorithms and their applications in industrial automation, robotics and engineering controls, including but not limited to:

• Intelligent perception mechanism

• Intelligent computing learning methods

• Multimodal intelligent computing

• Multi-sensor human-machine interaction

• Intelligent perception in robotics

• Decision planning in robotics

• Execution system in robotics

• Generative model of engineering controls

• Intelligent optimization of engineering controls

• Multi-agent and autonomous control systems

• Biologically inspired intelligent computing

• Theory and method of automatic driving