New Advances in Artificial Intelligence and Robotics Based on Mathematical Methods

Dear Colleagues,

The rapid advancement of artificial intelligence and robotics is increasingly driven by innovative mathematical methods, which lay a solid foundation for solving complex technical challenges and expanding application boundaries. This Special Issue aims to gather cutting-edge research achievements at the intersection of mathematical methods, artificial intelligence and robotics, providing a high-quality academic platform for global researchers to exchange ideas and promote innovation.

We warmly invite original research articles, reviews and case studies focusing on, but not limited to, the following topics:

world models for embodied artificial intelligence; control theory of large language models; formal methods for reasoning models; mathematical methods for agentic AI; statistical learning and deep learning methods in robotic control; nonlinear dynamics in intelligent systems; numerical methods for AI-driven robotics applications; reinforcement learning for swarm robotics; multi-agent learning via game theory; optimization theory for foundation models.

The core objectives of this Special Issue are to showcase novel mathematical approaches applied in artificial intelligence and robotics, disseminate the latest research progress in this interdisciplinary field and foster collaborative exploration of future development directions. We look forward to your valuable submissions that contribute to advancing the synergy between mathematical theory and intelligent technology.

Dr. Zhenjie Zhao
Guest Editor

Manuscript Submission Information

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