5th International Conference on Control and Robot Technology (ICCRT 2027)

The 5th International Conference on Control and Robot Technology (ICCRT 2027) explores advanced methods for intelligent system modeling, autonomous machine operation, industrial automation, AI-driven perception, and networked control across diverse engineering applications.

Key Topics

• Control theory and system optimization
  • Linear, nonlinear, adaptive, robust, and optimal control
  • Model predictive and intelligent control
  • System modeling, identification, simulation, and stability
  • Data-driven control, fault diagnosis, and fault-tolerant systems
  • Optimization algorithms and decision-making
• Robotics and autonomous systems
  • Robot design, kinematics, dynamics, and motion planning
  • Mobile robots, autonomous navigation, and multi-robot cooperation
  • Industrial, service, field, aerial, underwater, and legged robots
  • Humanoid, soft, and bio-inspired robotics
  • Teleoperation and human-robot interaction
• Artificial intelligence and intelligent perception
  • Machine learning and reinforcement learning
  • Computer vision, image processing, and pattern recognition
  • Intelligent sensing, sensor fusion, and state estimation
  • Autonomous planning, decision-making, and intelligent agents
  • AI-enabled modeling, prediction, and optimization
• Automation, mechatronics, and intelligent manufacturing
  • Industrial automation and process control
  • Mechatronic systems, motion control, and servo systems
  • Intelligent manufacturing and automated assembly
  • Embedded and real-time control systems
  • Industrial monitoring, maintenance, and diagnostics
• Networked and cyber-physical systems
  • Networked and distributed control
  • Multi-agent systems and cooperative control
  • Cyber-physical systems and the Industrial Internet of Things
  • Networked sensing, communication, and distributed automation
  • Cloud and edge computing for control systems
  • Network robotics and remote control
• Engineering applications and emerging technologies
  • Transportation control and autonomous vehicles
  • Agricultural robotics and automation
  • Energy and environmental control systems
  • Intelligent systems for mining and industrial operations
  • Medical, rehabilitation, and assistive technologies
  • Robotics in challenging environments and emerging robotic platforms

Who should attend

• Researchers in control theory, system modeling, and optimization
• Robotics engineers and autonomous systems researchers
• Specialists in artificial intelligence, machine learning, and computer vision
• Industrial automation, mechatronics, and manufacturing professionals
• Researchers in networked control, distributed systems, and cyber-physical systems
• Engineers working on sensing, embedded systems, and intelligent equipment
• Professionals developing control and robotic applications in transportation, agriculture, energy, healthcare, and industrial operations