8th International Conference on Control and Robotics (ICCR 2026)

The 8th International Conference on Control and Robotics (ICCR 2026) focuses on control theory, robotics, and computational intelligence, covering areas such as autonomous systems, machine learning, and system design.

Key Topics

• Control Theory and Applications
  • Model predictive control
  • Optimal control
  • Nonlinear control
  • Process control
  • Variable structure control
  • Robust control
  • Decentralized control
  • Distributed control
  • Data-driven control
  • Adaptive control
  • Guidance, navigation and control
  • Cooperative control
  • Fault detection, diagnosis and prognostics
  • Parallel systems and parallel control
  • Embedded control systems
  • Networked control systems
• System Design and Analysis
  • System prediction
  • System modeling and identification
  • Distributed parameter systems
  • Stability analysis
  • Chaotic systems
  • Collaborative automative systems
  • Stochastic systems
  • Multi-agent systems
  • Complex networks
  • Biomedical systems and biosystems
  • Cyber physical systems
  • Computer controlled system design
  • Industrial systems
  • Transportation systems
  • Cognitive systems
  • Agent-based systems
• Robotics
  • 3D simulation and mathematical modeling of robots
  • Nano and mechatronic systems
  • Reliability, scalability and validation
  • Environmental perception of robots
  • Service robots
  • Multi-robot systems
  • Offline simulation for robot design
  • Testing and validation software of robots
  • Human-computer interaction
  • Motion planning and learning
  • Unmanned aerial vehicles
  • Human-robot interfaces
  • Smart sensors
  • Intelligent autonomous systems
  • Soft robotics
  • Climbing, creeping, and walking robots
• Computational Intelligence and Intelligent Control
  • Neural networks and control
  • Fuzzy logic systems and fuzzy control
  • Intelligent optimization
  • Nature-inspired computing
  • Logistics and supply chain optimization
  • Artificial immune systems
  • Genetic algorithms
  • Computational finance and economics
  • Evolutionary computation
  • Swarm intelligence and optimization
  • Adaptive dynamic programming
  • Reinforcement learning
  • Spiking neural networks
  • Neurodynamics
  • Learning control
  • Cognitive and developmental systems
• Machine learning and artificial intelligence
  • Pattern recognition
  • Machine learning
  • Activity/behaviour recognition
  • Decision making systems
  • Supervised and unsupervised learning
  • Support vector machines
  • Image/video retrieval
  • Image/video processing and analysis
  • Music synthesis and speech recognition
  • Localization, navigation and mapping
  • Target detection, tracking and surveillance
  • Scene analysis
  • Deep learning
  • Virtual reality
  • Knowledge representation and reasoning
  • Parallel intelligence