Topics
This symposium welcomes submissions with the following topics
- Predictive modeling and intelligent energy management powered by AI
- Novel approaches to AI-enhanced energy storage and optimization
- Advanced machine learning and deep learning methods for system modeling, simulation,
and optimization
- Reinforcement learning, federated learning, and other intelligent algorithms for
energy scheduling, resource allocation, and fault diagnosis
- Optical sensing and vision-based AI for mechatronic systems, including photonic
signal processing, optical feedback control, and AI-enhanced optical metrology
- LiDAR, structured light, hyperspectral imaging, and vision-based environment
understanding
- Optical communication and optical sensing networks for multi-agent coordination and
distributed intelligence
- AI-enhanced optical diagnostics, real-time optical feedback for resilient control,
and fault detection
- Optical-based human-robot interaction and intent understanding in complex
environments
- Cognitive optical perception and adaptive decision-making in dynamic, unstructured
scenes
- Smart Manufacturing: AI-driven production systems, adaptive machine tools, and
robotic machining solutions
- Unmanned and Service Robotics: Autonomous mobile robots (AGVs, service robots),
UAVs, and intelligent vehicle systems
- Intelligent Equipment and Transportation: AI-empowered aerospace systems, precision
instruments, and optimization of drive-by-wire chassis and autonomous vehicle
powertrains
- Energy and Infrastructure: Intelligent operation and maintenance robots,
AI-collaborative large-scale mechatronic systems
- Integration of AI technologies into complex mechatronic systems and associated
engineering challenges
- Adaptive design and deployment of autonomous systems in extreme or uncertain
environments
- Industry standards, ethical considerations, and regulatory frameworks for AI-driven
robotics and mechatronics
Meanwhile, submissions aligned with the overall conference scope are also
welcomed.
Machine Learning
- Artificial Intelligence Tools & Applications
- Hybrid Intelligent Systems
- Natural Language Processing
- Computer Vision
- Image Processing
- Heuristic and AI Planning Strategies and Tools
- Computational Theories of Learning
- Neural Networks
- Intelligent System Architectures
- Neural Networks and Applications
- Pervasive Computing and Ambient Intelligence
- Reasoning and Evolution
- Semantic Web Techniques and Technologies
- Web Intelligence Applications and Search
Computing
- Scientific Computing
- Computer Modeling
- Cloud Computing
- Parallel Computing
- Mobile Computing
- Simulation
- Computational Optimization
- Distributed Computing
- High Performance Computing
- Soft Computing Theory and Applications
Data Science
- Data Mining
- Big Data
- Databases
- Data Management
- Data Analytics
- Social Network Analysis
- Time Series Analysis
- Forecasting
- Data Security
