Dear Colleagues,

Over recent decades, it has been witnessed the great development of robots and mechanics. The increasing prevalence of 5G networks and the development of high-reliability and low-latency communication techniques have significantly improved the coordination of robot systems and mechanics (e.g., remote control of the robot, multiple unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), etc.). To be specific, new techniques enable higher accuracy in control and navigation even for large-scale robot systems and mechanics to achieve better performance. The objective of large-scale robot systems and mechanics is to cooperate to achieve a common goal that only a single robot and mechanic system cannot reach individually. For example, coordinated control of UAVs involved in search and rescue operations can significantly complete the scout task in an acceptable time. Besides, learning-based control and data-driven control have raised much attention within the community based on powerful tools such as reinforcement learning, deep neural network, and adaptive dynamic programming. Therefore, new control algorithms implemented in robots and mechanics generate more possibilities and benefit in human society, which raises many theoretical and practical open problems in the cross fields of control, estimation, robot, mechanics, and communications.

We solicit high-quality original research papers on topics including, but not limited to:

• Cooperative control of multi-robot systems and mechanics (e.g., multi-UAVs, multi-UGVs, or multi-agent systems for theoretical systems);
• Networked control under communications constraints;
• Event-triggered/data-driven control for multi-agent systems;
• Localization of mobile nodes in wireless networks;
• Filtering/distributed filtering theory and applications;
• Adaptive/learning-based observer and parameter estimation;
• Wireless communications for multi-robot systems and mechanics (e.g., UUV and UAV communications);
• Human behavior in the robots and mechanics;
• Active disturbance rejection in the robots and mechanics;
• Control and navigation technology of multi-robot systems and mechanics;
• Multi-robot and mechanic swarms in 5G networks;
• Model-based and model-free control for robots and mechanics.

Dr. Shimin Wang
Dr. Dong Liang
Dr. Hangjun Che
Dr. Man-Fai Leung
Dr. Yirui Cong
Guest Editors

Manuscript Submission Information

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• neural network
• coordinate control 
• robots
• mechanics
• human behaviour