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Editorial: AI for design and control of advanced robots
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DOI：10.3389/frobt.2026.1850311.png)
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Abstract
En 中文
mini-review; and hypothesis-and-theory articles; spanning mixed-reality digital twin systems; medical robotic design and learning-based modeling; imitation learning for legged locomotion; and cognitive control structures inspired by global workspace theory. Together; they reflect the diversity; depth; and practical impact of AI-enabled robotics. Collectively; these four articles illustrate how AI innovations strengthen robotic design; interaction; modeling; locomotion; and cognitive control. They address real-world demands in special operations; healthcare; agile mobility; and real-time autonomy; while advancing both methodological and theoretical foundations of the field.We sincerely thank all authors for their contributions; the reviewers for their rigorous and constructive feedback; and the editorial office of Frontiers in Robotics and AI for their strong support. We hope this special issue inspires further cross-disciplinary research and collaboration; accelerating the translation of AI-driven design and control into reliable; intelligent; and human-friendly robotic systems.Guimin Chen; Xi'an Jiaotong University; Xi'an; Chin Xiaohu Li; Xi'an Jiaotong University; Xi'an; Chin Ke Wu; Mohamed bin Zayed University of Artificial Intelligence (MBZUAI); Abu Dhabi; United Arab Emirates Peng Xia; The First Affiliated Hospital of Xi'an Jiaotong University; Xi'an; China
Keywords:
artificial intelligence
digital twin
decision making
robotic control
robotic design
Journal
F
IF:
3
Papers:
452
Citations:
6.9K
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