Special Issue

Topic: Robot System Intelligentization and Application: Learning, Control and Decision

A Special Issue of Intelligence & Robotics

ISSN 2770-3541 (Online)

Submission deadline: 31 Dec 2026

Guest Editor(s)

Prof. Huaicheng Yan

School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China.

Prof. Yueying Wang

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China.

Prof. Dan Zhang

College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, China.

Dr. Yang Wu

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai, China.

Special Issue Introduction

In the past few decades, intelligent robot systems such as robotic manipulators, autonomous marine vehicles (AMVs), and autonomous aerial vehicles (AAVs) have attracted plenty of attention from the field of control theory and engineering, because the multi-degree-of-freedom (DOF) robot systems have broad application prospects in industrial production and manufacturing, telecommunications, oceanographic data collection, antisubmarine warfare, etc. Artificial intelligence technologies greatly improve robot system efficiency and quality from considerations of autonomous path planning/trajectory generation, expert system, robotics vision, disturbance/uncertainty reconstruction and compensation, etc., making robot systems safe, reliable, and capable of operating in a complex environment. Therefore, the fusion of robot systems and artificial intelligence is an active research field, and this Special Issue welcomes submissions on the latest developments in robot system intelligentization and application of robot system. Potential topics include but are not limited to the following:
● Intelligent robot system
● Robot system automation
● Robot system intelligentization technologies
● Robot system vision
● Autonomous path planning/trajectory generation
● Expert system
● Robot system digital twin
● Cooperative control of AMVs/ AAVs/UASs
● Delay-tolerant networking architecture for AMVs/ AAVs /UASs
● Collision avoidance control for AMVs/ AAVs
● Cyber security of intelligent robot systems
● AI-based learning and control of robot systems
● Event-based filtering and control of robot systems
● Networked control systems
● Multiagent systems

Keywords

Robot system, intelligentization, vision, autonomous path planning/trajectory generation, expert system, cooperative control, delay-tolerant Networking architecture, collision avoidance control, deep learning, event-based control