Conceptual Design for Advanced Robotic Systems: Integrating AI, Resilience, and Human-Centric Autonomy

Dear Colleagues,

Conceptual design of the advanced robotic systems that integrate AI functions, resilience, and human-centric autonomy is the actual task that is performed in the frames of automation and robotics, mechatronics, engineering design, computer-integrated manufacturing, Industry 4.0, and other related subject fields. The conceptual model of the robotic system is created before generating the concrete mathematical and AI models necessary to perform design tasks at the detailed design phase of the robotic system life cycle. Among the widespread models and methods that are used at the conceptual and detailed design phases are models of classical mathematics and AI, logical–dynamical and hybrid systems, rapid prototyping, human-centered design, and knowledge-based engineering, etc.

Implementation of the design approaches and the conceptual model that are coordinated with the abovementioned methods and allow the connected formal descriptions of the advanced robotic system structure, its functional representation as a unit in its environment, robotic system environment, and human–computer interactions is a challenging task. This model should be used at the conceptual design phase and allow an easy transformation to the concrete mathematical and AI models used at the detailed design phase of the advanced robotic systems life cycles. The conceptual model should also take into consideration the connected descriptions of robotic subsystems of different kinds, i.e., mechanical, electronic, electromechanical, computer, and human-centric design and control system.

The main aim of this Special Issue is to seek high-quality submissions that highlight emerging methods of conceptual and detailed design of the advanced robotic systems and show the results of specific robotic systems design and control, as well as the results of their practical implementation. 

Topics of interest include, but are not limited to, the following:

• Engineering design and control methods;
• Systems engineering;
• Advanced robotic systems;
• Cobots and modular robots, Industry 4.0 systems;
• Companion and industrial robots, healthcare and soft robots, universal and mobile robots, UAV and underwater robots, etc.;
• Human–computer interaction, machine learning and AI;
• Human-centric autonomy;
• Resilience.

Prof. Dr. Kanstantsin Miatliuk
Prof. Dr. Henrik Gordon Petersen
Guest Editors

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