Research Areas

Research Areas


The Research Areas of the Robotics and Automation Laboratory are

  • Theory and design of control systems including robust, supervisory and distributed control and using algebraic, geometric, stochastic, nonlinear, adaptive and optimization methods. Additionally, control aspects of game theory, state estimation, neural networks, parameter estimation and fault diagnosis.
  • Artificial Intelligence, fuzzy systems, expert systems, hierarchical systems and human-machine systems, control engineering towards the reliability of components and systems.
  • Data processing, hardware and software for computer aided design, manufacturing and control in processes, spacecrafts, airplanes, traffic systems, economic systems, power systems, agriculture and management of natural resources.
  • Kinematics, dynamics, control and simulation of robotic systems and intelligent machines. Path planning for robotic systems, design of robot mechanisms, mathematical and computational issues in robotics and automation.
  • Intelligent instrumentation and measurement, computer vision, non-contact sensors, tactile sensing systems, sensor integration, mechatronics. Controlled electromechanical Hydraulic/Pneumatic Actuators.
  • Assembly and task planning, teleoperation and telerobotics, haptics, robot motion, planning, path and trajectory planning, mobile and autonomous robotics, legged locomotion, micro-robot, cellular and cooperating robots
  • Robotics in manufacturing, flexible automation, environmental-friendly manufacturing, modeling, analysis and support of chain management systems.
  • Robotics in unstructured environments, including services, medical systems, construction, unmanned aerial systems, underwater systems, intelligent vehicles.
  • Robotics and automation approaches in discrete event systems, Petri networks, optimization, artificial intelligence, neural networks, fuzzy systems
  • Computer architectures, software, advanced programming languages, software development environments, data bases and virtual reality for robotic and intelligent systems. Human-robot interface and integration. Automated Knowledge Management Systems.