Call for Papers

MMAR 2017 Call for Papers .pdf Poster

MMAR 2017 Call for Papers .jpg Poster

The 22nd International Conference on Methods and Models in Automation and Robotics (MMAR 2017) is to be held between 28th August and 31st August, 2017, in Miedzyzdroje (Poland). The conference aims to bring together engineers and scientists from academia, research institutes and industry so that they can discuss the latest developments and requirements in traditional and non-traditional areas of Automation and Robotics.

The main topics for the conference include, but are not limited to:

    • Identification, modelling and simulation
      • – Linear and nonlinear systems
      • – Distributed parameter systems
      • – Hybrid systems
      • – Computer aided systems design
      • – Uncertain systems
      • – Stochastic systems
    • Signal processing
      • – Filtering
      • – Sensor and signal fusion
      • – Adaptive signal processing
      • – Optimization in signal processing
      • – Wavelets
      • – Reconstruction of signals
      • – Change detection problems
      • – Time-frequency analysis
      • – Image processing
    • Control and systems theory
      • – Linear and nonlinear systems and control
      • – Fractional order systems
      • – Cooperative, coordinated and decentralized control
      • – Advanced process control
      • – Chaotic systems
    • Robotics
      • – Fundamentals of robotics
      • – Robotics applications
      • – Human-robot interaction
      • – Motion planning and algorithms
      • – Advanced robotics
      • – Kinematics and dynamics aspects of robots
      • – Nonholonomic systems and control
      • – Sensory and visual feedback in robots
    • Intelligent systems and methods
      • – Optimization algorithms
      • – Fuzzy systems
      • – Genetic algorithms
      • – Neural networks
      • – Decision support systems
      • – Machine learning
      • – Distributed control systems
      • – Networked control systems
      • – Software agents
      • – Planning and scheduling problems
      • – Fault detection and diagnosis
  • Control systems
    • – Adaptive control
    • – Predictive control
    • – Robust control
    • – Optimal control
    • – Control applications
    • – Marine and aerospace guidance and control
    • – Space control systems