CALL FOR PAPERS

2026 International Conference on Intelligence Science and Cyber-Physical Technologies (ISCPT 2026) is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and practical intelligence science and cyber-physical technologies. The conference will bring together leading researchers, engineers, and practitioners in the domain of interest from around the world.

Call for Papers includes, but is not limited to, the following topics:

  • Track 1: Intelligent Perception and Imaging
  • • Multimodal perception and sensor fusion
  • • LiDAR, vision, and mmWave radar detection
  • • Computational imaging and novel optoelectronic sensors
  • • Polarization, spectral, and light-field imaging
  • • Non-line-of-sight and scattering media imaging
  • • Event cameras and neuromorphic vision
  • • Sensing for extreme environments
  • • Single-photon and quantum-enhanced sensing
  • • Brain-Computer Interfaces and Neural Perception
  • • Neuromorphic Vision and Brain-Inspired Sensing
  • Track 2: Distributed Sensor Networks
  • • Fiber-optic and distributed sensing systems
  • • IoT multimodal sensor cooperation
  • • Low-power and embedded sensing
  • • Multi-sensor calibration, synchronization, and fusion
  • • Edge-driven sensing data processing
  • • Bio-inspired and flexible electronic sensing
  • • Air-ground cooperative sensing networks
  • • Embedded sensing for structural health monitoring
  • Track 3: Cyber-Physical Systems Modeling
  • • CPS modeling and simulation
  • • Digital twins and cyber-physical integration
  • • Formal verification and safety analysis
  • • Networked and distributed control
  • • Multi-agent cooperative control
  • • Physics-inspired deep learning and identification
  • • Real-time embedded system design
  • • Quantum and neuromorphic control
  • • AI-Driven Scientific Computing and Simulation
  • • Aerospace Modeling and Digital Twin
  • • Energy Modeling for Hydrogen-Powered UAVs
  • Track 4: Intelligent Control and Decision
  • • Advanced control theory and algorithms
  • • Learning-based control and optimization
  • • Reinforcement learning and robot decision-making
  • • Large models and multimodal autonomous systems
  • • Trustworthy AI: safety and robustness
  • • Federated learning and edge intelligence
  • • Generative AI for simulation and design
  • • Human-robot collaboration and safe interaction
  • • Track 5: Autonomous Systems and Robotics
  • • Autonomous driving perception and planning
  • • Embodied intelligence and robot vision
  • • Service robots and medical rehabilitation
  • • Smart manufacturing and industrial robotics
  • • UAV and low-altitude economy perception
  • • Unmanned system cooperation and formation
  • • Dexterous manipulation and navigation
  • • Autonomous systems for extreme environments
  • • Vision-Language-Action Foundation Models for Robotics
  • • On-Orbit Servicing and Extraterrestrial Exploration
  • Track 5: Cyber-Physical Application Systems
  • • Smart grid cyber-physical integration
  • • Energy management and optimal scheduling
  • • Intelligent transportation and vehicle-road-cloud
  • • Precision agriculture and environmental monitoring
  • • Biomedical cyber-physical systems
  • • Smart buildings and energy optimization
  • • Disaster response and emergency systems
  • • Green and sustainable intelligent systems
  • • Aerospace Propulsion and Plasma Applications