Establishment
Language of instruction
French, English
Teaching content
MB-ST
Training officer(s)
AM.KOKOSY, G.TAGNE
Stakeholder(s)
G.TAGNE
Présentation
Prerequisite
To follow this course, the student must be able to master the basics of automatic seen in the third year (modeling, systems control).
Goal
Expected skills : 31 (311/312/313) 32 (322/323), 34 (341/342/343), 56 (561/562), 111 (1111/1112), 112 (1121/1122)
This course is the foundation for designing and implementing intelligent robotic systems. It is essential to have a broad vision of the robotic system and will allow the student to acquire skills to model, estimate variables, plan the movements and control a mobile robot.
At the end of this course, the student will be able:
- to understand a complex system (robotic system) by decomposing it into subsystems: elements of perception, planning, action, artificial intelligence
- to design and develop a robotized system by appropriately choosing the elements constituting it
- to know how to model a mobile robot to be able to control it
- to master the different techniques of planning of trajectory of the robot in order to choose the technique most appropriate according to the application to carry out.
Some pedagogical approaches of this module enable students to acquire and develop transversal skills such as project management, report writing and oral communication.
This course is the foundation for designing and implementing intelligent robotic systems. It is essential to have a broad vision of the robotic system and will allow the student to acquire skills to model, estimate variables, plan the movements and control a mobile robot.
At the end of this course, the student will be able:
- to understand a complex system (robotic system) by decomposing it into subsystems: elements of perception, planning, action, artificial intelligence
- to design and develop a robotized system by appropriately choosing the elements constituting it
- to know how to model a mobile robot to be able to control it
- to master the different techniques of planning of trajectory of the robot in order to choose the technique most appropriate according to the application to carry out.
Some pedagogical approaches of this module enable students to acquire and develop transversal skills such as project management, report writing and oral communication.
Presentation
This module is the core of the robotics field in M1 at ISEN Lille. It allows to address the main problems for the implementation of a robotic system. It deals with several themes:
- Modeling of mobile robots
- Indoor and outdoor robots localization
- Near environmental perception technologies using US, IR, LIDAR or camera sensors
- Strategies of navigation and control of the mobile robot
- Modeling of mobile robots
- Indoor and outdoor robots localization
- Near environmental perception technologies using US, IR, LIDAR or camera sensors
- Strategies of navigation and control of the mobile robot
Modalités
Forms of instruction
Lectures, Practical work, tutored projects
Organization
Type | Amount of time | Comment | |
---|---|---|---|
Face to face | |||
Lectures - face to face | 12,00 | ||
Lab | 16,00 | ||
Independent study | |||
Independent study | 48,00 | ||
Overall student workload | 76,00 |
Evaluation
The evaluation has two approaches:
- A written evaluation (partial): to check the acquisition of general and basic knowledge for the design a robotic system.
- A project: to put the student in a posture enabling him to solve a real problem. The aim here is to verify the acquisition of skills and to propose justified solutions.
- A written evaluation (partial): to check the acquisition of general and basic knowledge for the design a robotic system.
- A project: to put the student in a posture enabling him to solve a real problem. The aim here is to verify the acquisition of skills and to propose justified solutions.
Control type | Duration | Amount | Weighting |
---|---|---|---|
Continuous assessment | |||
Test | 1,00 | 1 | 40,00 |
Mini-project | 24,00 | 1 | 60,00 |
TOTAL | 100,00 |