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IPAC' 2026: International Conference on Intelligent Perception and Autonomous Control

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IPAC'
投稿締切日:
2026-01-24
通知日:
開催日:
2026-04-24
開催地:
Foshan, China
閲覧: 2818   フォロー: 1   参加: 1

論文募集

IPAC' 2026 (International Conference on Intelligent Perception and Autonomous Control) is an academic conference held in Foshan, China on 2026-04-24. The paper submission deadline is 2026-01-24.

The 2026 International Conference on Intelligent Perception and Autonomous Control (IPAC 2026) will be held from April 24 to 26, 2026, in Foshan, China. Organized by the Foshan Association for Artificial Intelligence, the conference aims to provide a high-level academic platform for experts, scholars, researchers, and engineers worldwide to exchange ideas in the fields of intelligent perception, autonomous control, and related technologies. IPAC 2026 will focus on cutting-edge topics such as artificial intelligence, computer vision, sensing technology, robotic control, and autonomous driving systems, while exploring innovative applications of intelligent systems in industry, transportation, healthcare, and public services. Researchers and professionals from across the globe are warmly invited to submit their work and participate in the conference to promote the advancement and practical implementation of intelligent perception and autonomous control technologies. Track One: Intelligent Perception Computer Vision and Image Understanding Multimodal Sensor Fusion 3D Sensing and Scene Reconstruction Wireless Sensor Networks and Smart Sensing Object Detection, Recognition, and Tracking Environmental Perception for Robotics Human Activity and Gesture Recognition Perception Systems for Autonomous Vehicles Remote Sensing and Intelligent Surveillance Edge AI and Embedded Perception Systems Track Two: Autonomous Control Robot Motion Planning and Control Adaptive and Robust Control Techniques Autonomous Decision-Making and Planning Control of Multi-Agent and Distributed Systems Autonomous Driving Systems and Safety Control AI-Based Industrial Process Control Human-in-the-Loop and Shared Autonomy Real-Time Control and System Optimization Reinforcement Learning for Control Systems Cyber-Physical Systems and Intelligent Automation
最終更新：Dou Sun（）

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