Moses - AI and Robotics: Lab Course

Display language

Diese Modulbeschreibung gilt nicht im aktuellen Semester.

Die Modulbeschreibung gilt nur für den Zeitraum SoSe 2020 - WiSe 2021/22. Die Version für das aktuelle Semester (SoSe 2024) finden Sie hier: Modulbeschreibung des SoSe 2024

Module / Version:
#41004 / #1

Validity:
SoSe 2020 - WiSe 2021/22

Default display language:
English

Module title:
AI and Robotics: Lab Course

Credits:
6

Responsible person:
Toussaint, Marc

Grading:
benotet

Type of exam:
Portfolioprüfung

Zugehörigkeit

Faculty:
Fakultät IV

Institute:
Institut für Technische Informatik und Mikroelektronik

Area of expertise:
34342100 FG Intelligent Systems

Prüfungsausschuss:
No information

Kontakt

Office:
MAR 4-4

Contact person:
Toussaint, Marc

E-mail address:
toussaint@tu-berlin.de

Website:

https://argmin.lis.tu-berlin.de/teaching/

Learning Outcomes

The students can program robotics systems to perform object manipulation tasks. To this end, they can integrate basic methodologies covered by other introductory courses, in particular motion generation and perception, potentially also machine learning, task planning, and mobile navigation.

Content

In this practical lab course students will directly work with robotic systems. The major time is spend on practically solving (coding) a series of problems, with direct supervision by the instructor during the session. In some lectures the instructor introduces basic concepts. The series of problems includes, for instance, * generation of basic motion on the robot system, * leveraging state-of-the-art motion planning and optimization, * perceiving objects and mapping them into virtual representations, * pointing to, grasping, and pushing objects, * realizing longer manipulation sequences, and a more involed project at the end. Students are expected to work also offline, as homework, on these problems.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
AI and Robotics: Lab Course	PR	3434 L 10658	SoSe	English	4

Workload and Credit Points

AI and Robotics: Lab Course (PR):

Workload description	Multiplier	Hours	Total
Exercise work	15.0	4.0h	60.0h
Prepare and revisit	15.0	4.0h	60.0h
Presence	15.0	4.0h	60.0h
			180.0h(~6 LP)

The Workload of the module sums up to 180.0 Hours. Therefore the module contains 6 Credits.

Description of Teaching and Learning Methods

Practical work directly on the robot, solving a series of tasks, supervised by the teacher.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

Students should have * in depth knowledge in robotics (passed a robotics course) * basic knowledge in AI and machine learning If these prerequisits are not met, the iunstructor needs to approve participation

Mandatory requirements for the module test application:

This module has no requirements.

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 Punkte insgesamt

Language

English

Test elements

Name	Points	Categorie	Duration/Extent
Implementation and documentation	25	written	throughout the course
Practical tasks	50	practical	about 4 tasks throughout the course
Presentation of the solutions and a final project	25	oral	5-10 minutes per week, plus 30 minutes final presentation

Grading scale

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl	1.0	1.3	1.7	2.0	2.3	2.7	3.0	3.3	3.7	4.0
100.0pt	95.0pt	90.0pt	85.0pt	80.0pt	75.0pt	70.0pt	65.0pt	60.0pt	55.0pt	50.0pt

Test description (Module completion)

No information

Duration of the Module

The following number of semesters is estimated for taking and completing the module:
1 Semester.

This module may be commenced in the following semesters:
Sommersemester.

Maximum Number of Participants

The maximum capacity of students is 12.

Registration Procedures

Please see the teaching information webpage of the AI & Robotics Lab

Recommended literature
No recommended literature given

Assigned Degree Programs

Semester:

Zeige auch ausgelaufene Studiengänge und StuPOs

This module is used in the following Degree Programs (new System):

	Studiengang / StuPO	StuPOs	Verwendungen	Erste Verwendung	Letzte Verwendung
This module is not used in any degree program.

Miscellaneous