• Introduction to robotics, describing the history of robotics and its evolution

• Presenting mobile robot morphologies, namely sensors and actuators

• Brief literature review related to robotics, presenting the necessary basic theoretical concepts

• Critically discuss and prepare a presentation on an assigned scientific paper

• Introduction to 3D modelling tools

• Introduction to rapid prototyping, focusing on 3D printing with MakerBot

• Learn how to model a 3D structure for the mobile robotic platform

• Model a personalized 3D structure for the mobile robotic platform

• 3D print the personalized 3D structure and assemble the mobile robotic platform

• Introduction to C language applied to Arduino programming

• Describe the features of Arduino solutions and ATMEL microcontroller (e.g., hardware architecture, cycles, pin configuration, communications), using the Arduino Mega board

• Identify the different wireless communication technologies used in robotics (e.g., F, Bluetooth, AdHoc, ZigBee)

• Introduction to low-level algorithms, flowcharts and pseudocode

• Acquire skills in the sensor and actuator practice used in robotics

• Develop a typical differential kinematic application using Arduino Mega

• Introduction to ROS

• Describe ROS features (e.g., stacks, publish-subscribe, topics) and provide specific examples and case studies

• Present ROS-compatible simulators, such as Stage and Gazebo

• Introduction to high-level algorithms, flowcharts and pseudocode

• Follow ROS tutorial under Stage environment

• Explore ROS features under Raspberry Pi 3 environment

• Explore ROS protocol (rosserial) for Arduino Mega – Raspberry Pi 3 communication

• Develop a typical remote sensing application using both Arduino Mega and Raspberry Pi 3

• Introduction to Artificial Intelligence, presenting different paradigms and some real applications

• Introduction and importance of integrating biologically-inspired models in robotics

• Formalizing a biologically-inspired approach, devising search algorithms and mobility

• Develop a streaming architecture to exchange all necessary data between Arduino Mega and Raspberry Pi 3 (e.g., sensor readings, encoder’s readings, actuators control, etc.)

• Mobile robot platform maze competition

• Mobile robot Patrol competition: algorithm testing on STOP robots

• Prize delivery