The CONTROLO 2026 brings together academia and professionals from the industry to share cutting-edge concepts, recent developments and research results, and practical achievements and work-in-progress from industry in the fields of control, automation, robotics and soft computing.

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

Control Systems

    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

Automation and Robotics

    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

Soft-Computing with application to Control, Automation or Robotics

    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