11th International Conference on Robotics and Automation Sciences (ICRAS 2027)

The 11th International Conference on Robotics and Automation Sciences (ICRAS 2027) covers robotics, automation, intelligent control systems, and industrial engineering, highlighting innovations in robot design, machine learning applications, and systems modeling.

Key Topics

• Robotics and Automation
  • Vision, Recognition and Reconstruction
  • Image Processing
  • Control and Supervision Systems
  • Robot Design, Development and Control
  • Vehicle Control Applications
  • Telerobotics and Teleoperation
  • Mechatronics Systems
  • Mobile Robots and Intelligent Autonomous Systems
  • Perception and Awareness
  • Virtual Environment, Virtual and Augmented Reality
  • Engineering Applications
  • Surveillance, Fault detection and Diagnosis
• Intelligent Control Systems and Optimization
  • Fuzzy Control
  • Genetic Algorithms
  • Machine Learning in Control Applications
  • Decision Support Systems
  • Hybrid Learning Systems
  • Knowledge-based Systems Applications
  • Evolutionary Computation and Control
  • Distributed Control Systems
  • Soft Computing
  • Optimization Algorithms
  • Engineering Applications
  • Software Agents for Intelligent Control Systems
• Industrial Engineering, Production and Management
  • Supply Chain and Logistics Engineering
  • Lean Enterprise
  • Production Planning, Scheduling and Control
  • Virtual Enterprises and Interoperability
  • Facilities Planning and Management
  • Computer-based Manufacturing Technologies
  • Manufacturing Systems Engineering
  • Quality Control and Management
  • Performance Evaluation and Optimization
  • Systems Modelling and Simulation
  • Cost and Value Engineering
  • Human Factors & Human-System Interface
  • Business Process Modelling
• Signal Processing, Sensors, Systems Modelling and Control
  • Environmental Monitoring and Control
  • Adaptive Signal Processing and Control
  • Signal Reconstruction
  • Optimization Problems in Signal Processing
  • Real-Time Systems Control
  • Computer and Microprocessor-based Control
  • Nonlinear Signals and Systems
  • Information-based Models for Control
  • Instrumentation Networks and Software
  • System Identification