Special Symposium on Computer Vision, Intelligent Cyber-Physical Systems and Real-World AI

Artificial Intelligence is increasingly moving from controlled laboratory environments into physical systems that must operate reliably under real-world conditions. Computer vision, intelligent sensing, robotics, edge computing and digital twins are becoming important technologies for building systems capable of perceiving, understanding and interacting with complex physical environments.

The Special Symposium on Computer Vision, Intelligent Cyber-Physical Systems and Real-World AI invites original research that connects advances in AI algorithms with practical implementation, experimental evaluation and deployment.

The symposium particularly welcomes contributions demonstrating real-world validation, resource-efficient implementation, deployment experience or measurable impact.

Topics of Interest

• Computer vision and image understanding
• Video analytics and intelligent surveillance
• Object detection, tracking and recognition
• Multimodal perception
• Vision-language systems
• Robotics and autonomous systems
• Embodied Artificial Intelligence
• Intelligent cyber-physical systems
• Digital twins and simulation-driven intelligence
• Edge AI and embedded intelligence
• Resource-efficient machine learning
• Real-time and low-latency AI
• Intelligent sensing and sensor fusion
• Autonomous mobility and intelligent transportation
• Smart cities and urban intelligence
• Public safety and emergency-response systems
• Industrial AI and smart manufacturing
• Predictive maintenance
• Healthcare AI and medical cyber-physical systems
• Precision agriculture
• Environmental intelligence
• Intelligent infrastructure monitoring
• Human–robot interaction
• Human–CPS interaction
• Sustainable and energy-efficient intelligent systems
• AI for India's transportation, public infrastructure and disaster-management requirements
• Resource-efficient edge AI for agriculture, public safety and deployment in diverse Indian environments

Paper Submission and Review

Authors are invited to submit original and unpublished research papers through the ICogSys 2026 EDAS submission system.

All submissions will undergo a rigorous double-blind peer-review process. Papers will be evaluated based on originality, technical contribution, methodological soundness, experimental validation, relevance and clarity of presentation.

Proceedings

Peer-reviewed and selected symposium papers will be considered for inclusion in the ICogSys 2026 Springer Lecture Notes in Networks and Systems (LNNS) proceedings, subject to the conference selection criteria and Springer's quality and publication requirements.

Important Dates