1. Introduction to Robotics a. History and definitions b. Classification and types of robots c. Fundamental elements of robots d. Perception and actuation in robotics 2. Massive robotic data processing a. Artificial vision b. Localization systems: Odometers. c. Environment modelling (sonar, depth camera, Laser 2D, Lidar 3D). d. Multi-sensory fusion 3. Real-time control of robots a. Intelligent navigation b. Hand manipulation c. Reactive planning and control d. Systems with hyper-degrees of freedom (humanoids, exoskeletons) 4. Robotic learning systems a. Demonstration and deduction learning b. Learning algorithms in robotics (neural networks, fuzzy, SVM) c. Deep learning in robotics d. Imagination in robotics 5. Applications in robotics a. Outdoor applications (factories, surveillance, inspection) b. Indoor applications (homes, hospitals, leisure areas) c. Human-robot interaction (verbal, gestural, emotional) d. Collaborative Robots e. Future applications