Scope

The 16th International Conference on Automatic Control and Soft Computing (CONTROLO 2024) will provide an excellent opportunity to present new research results and to discuss the latest developments in the fields of control, automation, robotics and soft computing.

Research topics of interest for submission include but are not limited to:

  • Adaptive Control
  • Aeronautics and Aerospace control
  • Control Education
  • Control technology, sensors and actuators
  • Control Theory
  • Architectures and Applications
  • Discrete-event systems
  • Distributed Control
  • Estimation and Identification
  • Fault Detection, Diagnosis and Fault Tolerant Control
  • Fuzzy and Neuro-Fuzzy
  • Systems and Control
  • Human in the Loop Control
  • Hybrid Systems
  • Intelligent and AI Based Control
  • Linear and Nonlinear Control
  • Modelling and Simulation
  • Networked Control Systems
  • Optimal, Robust and Stochastic Control
  • Optimization Approaches
  • Remote and Virtual Laboratories
  • Automated Guided Vehicles
  • Autonomous Agents
  • Cyber Physical Systems
  • Embedded Systems
  • Factory Modelling and Automation
  • Grafcet and Petri-Nets
  • Human – Agent Interaction
  • Human-Machine Interfaces
  • Industrial Networks and Automation
  • Industrial Automation
  • Instrumentation
  • Internet of Things and Industry 4.0
  • Manufacturing systems
  • Mechatronics Systems
  • Mobile Robots
  • Modelling of Complex Systems
  • Perception and Awareness
  • Process Automation
  • Real-Time Systems
  • Robotics
  • Vision, Recognition and Reconstruction
  • Adaptive and Dynamic Programming
  • Artificial Intelligence and Pattern Recognition
  • Cloud, Fog and Big Data
  • Cognitive Artificial Systems
  • Computational Intelligence
  • Data Mining and Information Retrieval
  • Data Reduction and Interpretation
  • Evolution of AI Systems
  • Independent and Cognitive Computing
  • Intelligent Agents and Context Awareness
  • Knowledge Acquisition and Representation
  • Machine Learning
  • Perception Intelligent Decision Systems
  • Reinforcement and Deep-Learning