Robotics & IT Courses S8

General Data
Academic program	ECAM ENGINEERING PROGRAM		Module Manager(s): GIBERT Guillaume
Module type	Teaching Unit
Credits (ECTS)	12
Maximum number of students	250
Total duration :128h00	Period : SEMESTER 8	Language : : English

Learning outcomes
• Read and discuss the actuality of robotics<br>• Decode the public message, develop the critical sense<br>• Debate and build an ethic positioning in industrial context<br>• Understand the role of a human operator in a robotic context<br>• Take into account the human specification in a design<br>• Be confronted with the trade-off of versatility versus performance<br>• Apply theoretical knowledge to real industrial application (Fanuc, cobot, LIDAR and industrial handling, security monitoring, grasping strategy, communication between machines, telerobotics, intelligent vehicles, biomedical robotics) with help/advices of partner institution<br>• Labs will not be guided, only final objectives will be given like (list of performance specifications) in order to apply multi-disciplinary skills and complex problems methodology<br>• Write a professional technical report that will act as a capitalization document in a company<br>• Building hypothesis based on a context<br>• Test models and evaluate the consistency of their results with the application objectives<br>• Understand the stakes and risks of artificial decision making<br>• Choose adequate algorithmic solution for industrial and robotics application<br>• Be familiar with technologies and their constraints<br>• Building hypothesis based on a context<br>• Define robotics and its various fields<br>• Explore intuitively the concept of robotic models with Lab practice<br>• Introduce the methodology to manage complex multidisciplinary project<br>• Face the difficulty of hardware programming<br>• Acquire cultural knowledge of the robotics world<br>• State a problem, read and write technical specifications<br>• Program mobile robot kinematics and autonomous behavior with sensors interactions

Learning outcomes

• Read and discuss the actuality of robotics • Decode the public message, develop the critical sense • Debate and build an ethic positioning in industrial context • Understand the role of a human operator in a robotic context • Take into account the human specification in a design • Be confronted with the trade-off of versatility versus performance • Apply theoretical knowledge to real industrial application (Fanuc, cobot, LIDAR and industrial handling, security monitoring, grasping strategy, communication between machines, telerobotics, intelligent vehicles, biomedical robotics) with help/advices of partner institution • Labs will not be guided, only final objectives will be given like (list of performance specifications) in order to apply multi-disciplinary skills and complex problems methodology • Write a professional technical report that will act as a capitalization document in a company • Building hypothesis based on a context • Test models and evaluate the consistency of their results with the application objectives • Understand the stakes and risks of artificial decision making • Choose adequate algorithmic solution for industrial and robotics application • Be familiar with technologies and their constraints • Building hypothesis based on a context • Define robotics and its various fields • Explore intuitively the concept of robotic models with Lab practice • Introduce the methodology to manage complex multidisciplinary project • Face the difficulty of hardware programming • Acquire cultural knowledge of the robotics world • State a problem, read and write technical specifications • Program mobile robot kinematics and autonomous behavior with sensors interactions