Special Session Ⅶ

 

Frontiers of Intelligent Systems: AI-Driven Control, Autonomy, and Emerging Challenges  (Submission Deadline: July 15, 2026)
智能系统前沿：AI驱动控制、自主系统与新兴挑战 

 

Chair:	Co-chair:
Jialing Zhou Beijing Institute of Technology, China	Guanghui Wen Southeast University, China
Keywords:
·  Intelligent Control (智能控制) ·  Autonomous Systems (自主系统) ·  Machine Learning for Control (机器学习控制)
Topics:
·  AI-driven control theory and applications (人工智能驱动的控制理论与应用) ·  Learning-based control and reinforcement learning (基于学习的控制与强化学习) ·  Autonomous systems and decision-making (自主系统与智能决策) ·  Robotics and intelligent perception (机器人与智能感知) ·  Cyber-physical systems and digital twins (信息物理系统与数字孪生) ·  Explainable and trustworthy AI in control (可解释与可信的智能控制方法) ·  Multi-agent systems and distributed intelligence (多智能体系统与分布式智能) ·  Intelligent transportation and autonomous vehicles (智能交通与自动驾驶) ·  AI for industrial automation and smart manufacturing (工业智能化与智能制造) ·  Adaptive and resilient control systems (自适应与鲁棒控制系统)
Summary:
·  With the rapid integration of artificial intelligence and control theory, intelligent systems are transforming industries such as robotics, autonomous vehicles, and cyber-physical infrastructures. However, this convergence also raises new technical challenges including safety, reliability, interpretability, and human–AI collaboration. This special session aims to explore cutting-edge advances and emerging debates in AI-driven intelligent control. The target audience includes researchers, engineers, and graduate students in computer science, control engineering, robotics, and related interdisciplinary fields. Through invited talks and open discussion, the session is expected to stimulate cross-disciplinary exchange, identify emerging research directions, and foster collaboration among scholars working at the intersection of AI and intelligent control.
·  随着人工智能与控制理论的深度融合，智能系统正在推动机器人、自主系统和信息物理系统等领域的快速发展。然而，这种融合也带来了安全性、可靠性、可解释性以及人机协同等新的技术挑战。 本特邀专场旨在探讨人工智能驱动的智能控制领域的前沿进展与关键问题。目标听众包括计算机科学、控制工程、机器人及相关交叉领域的研究人员、工程师与研究生。 通过邀请报告与开放讨论，本专场期望促进跨学科思想碰撞，探索新的研究方向，并推动人工智能与智能控制领域的合作与创新。