151-0323-00L  Autonomous Mobility on Demand: From Car to Fleet

SemesterAutumn Semester 2017
LecturersE. Frazzoli, A. Censi
Periodicityyearly recurring course
Language of instructionEnglish
CommentNumber of participants limited to 20.



Courses

NumberTitleHoursLecturers
151-0323-00 GAutonomous Mobility on Demand: From Car to Fleet4 hrs
Mon13-15HG F 26.5 »
16-19ML J 37.1 »
Tue17-19ML J 34.3 »
Wed10-12HG E 22 »
16-19ML J 34.1 »
Thu16-19ML F 36 »
Fri15-19ML J 37.1 »
20.09.10-12HG D 3.3 »
E. Frazzoli, A. Censi

Catalogue data

AbstractAutonomous Mobility on Demand systems based on self-driving cars will make a huge impact in the world. This class describes the basics of modeling, perception, learning, planning, and control for fleets of self-driving cars. We focus particular regard to the problem of integration and co-design of components and behaviors. The course has a heavy experimental component.
ObjectiveThe students will learn how to create all parts of an architecture for a complex multi-robot system performing a nontrivial task (an autonomous taxi service).
ContentPart 1: Single car functionalities (perception-planning-control loop, based on vision data); Part 2: Multiple cars (formal methods for safety, platooning, coordination, fleet-level policy optimization)
Lecture notesCourse notes will be provided for free in an electronic form.
LiteratureCourse notes will be provided for free in an electronic form. These are some books that can be used to provide background information or consulted as references: (1) Siegwart, Nourbakhsh, Scaramuzza - Introduction to autonomous mobile robots; (2) Norvig, Russell - Artificial Intelligent, a modern approach. (3) Peter Corke - Robotics Vision and Control (4) Oussama Khatib, Bruno Siciliano - Handbook of Robotics
Prerequisites / NoticeStudents should have taken a basic course in probability. Students should be familiar with basic programming and Linux use.

Performance assessment

Performance assessment information (valid until the course unit is held again)
Performance assessment as a semester course
ECTS credits4 credits
ExaminersE. Frazzoli, A. Censi
Typegraded semester performance
Language of examinationEnglish
RepetitionRepetition only possible after re-enrolling for the course unit.
Additional information on mode of examinationThe grade is based on (1) the realization of a project (40%); (2) a project report (40%); (3) a project presentation (20%). The projects will be group based, but the contribution of each student will be assessed individually.

Learning materials

 
Main linkAutonomous Mobility on Demand (AMOD)
Only public learning materials are listed.

Groups

No information on groups available.

Restrictions

Places20 at the most
Waiting listuntil 01.10.2017

Offered in

ProgrammeSectionType
Mechanical Engineering MasterRobotics, Systems and ControlWInformation
Robotics, Systems and Control MasterCore CoursesWInformation