Minor Sensor and Network Devices

​​The evolution of sensor technology and communication protocols has made it possible to realize connected objects whose application domains are in full expansion. 
​This teaching unit aims to provide theoretical and practical bases for the development of connected objects by the design of the Cherokey 4WD arduino mobile robot. It is a versatile mobile robot that is compatible with popular microcontrollers such as the arduino UNO, arduino MEGA 2560, Romeo, etc. 
​In order to address the network aspect, sensor nodes (M5Stack family) will monitor physical data and forward the collected information to a central node (Raspberry Pi) in charge of decision for actuator nodes. The central node will rely on machine learning algorithms (KNN, RF, SVM, CNN, …) for making centralized decisions. The efficiency of different algorithm of ML will be compared. 

​This course will be divided into two parts: 

• ​Robot building and controlling and Bluetooth communication
  • A first step will be devoted to understanding how the robot works, discovering the Arduino language and its functions.
  • ​The second step is dedicated to the programming the Cherokey Robot and to find the function that will allow the robot to avoid obstacles. 
  • ​The last step will be to use the bluetooth function and the camera to move the robot. 
• ​Design of sensor network
  • the first step is to build a sensor network and a data collection infrastructure based on WIFI communication, a broker (MQTT) and nodered.
  • The second step is to integrate machine learning (ML) algorithms for making decision bases on collected data. The different steps of the ML deployment will be studied
  • ​At the end, the student will develop a solution for societal challenges for example for the management of energy (heating, electricity, …), water consumption, … for smart environment (home, building, …).​ 

• Cécile Belleudy, Maîtresse de conférence, Université Côte d'Azur, LEAT laboratory
• Jean-Marc Ribero, Professor, Université Côte d'Azur, LEAT laboratory

• Oral presentation (50 % of the final grade) - 11/12/2025 (duration: 15+10 min) - SophiaTech Campus, Templiers, room F201
• Final written report (50 % of the final grade) - Submission deadline (on Moodle): 15/12/2025