As adaptive learning models, neural networks demonstrate remarkable advantages in classification, regression, and pattern recognition tasks through data-driven mechanisms, with their core role in intelligent computing systems manifested in enhancing system performance, improving robustness, and optimizing dynamic adaptability. Current research focuses on the deep integration of intelligent technologies such as fuzzy logic, evolutionary algorithms, and machine learning with neural network architectures, achieving successful implementations across robotics, smart manufacturing, aerospace engineering, and intelligent education. Despite exhibiting inherent advantages over traditional intelligent methods in parallel processing and nonlinear modeling, critical challenges persist in network topology optimization and interpretability enhancement during practical deployments.
This special session of the 2025 International Conference on Networking, Sensing, and Control aims to advance cutting-edge exploration of neural networks in intelligent computing, encompassing topological innovation, multimodal algorithm integration, and cross-disciplinary application validation. The discussions will particularly emphasize achieving synergetic evolution of system stability, adaptive capability, and engineering practicality through human-machine collaborative intelligence frameworks, ultimately providing theoretical foundations and practical paradigms for intelligent transformation in industrial and social domains.
Technical topics of this special session include but are not limited to:
→June 30, 2025: Special session paper submission due
August 15, 2025: Notification of acceptance
September 15, 2025: Camera-ready copy due
Papers submitted to this special session should follow the standard formatting and submission guidelines of ICNSC 2025 which can be found on the Submission page: https://www.oulu.fi/icnsc2025/submission.html.
During the submission process, authors should select this special session by title (Robotic Manipulators Beyond the Lab: Learning-Based Control, Perception, and Decision-Making) to ensure their papers are directed appropriately.
Session Organizer: Yang Shi, Associate Professor
Affiliation: School of Information Engineering, Yangzhou University, Yangzhou 225127, China
Email: shiy@yzu.edu.cn