Moses - AI and Robotics: Research

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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:
#41005 / #1

Validity:
SoSe 2020 - WiSe 2021/22

Default display language:
English

Module title:
AI and Robotics: Research

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:
office@lis.tu-berlin.de

Website:

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

Learning Outcomes

The students understand core research questions and methodological approaches that state-of-the-art publications in AI and robotics currently address and follow. They can identify the limitations of state-of-the-art research. They can constructively discuss what novel methodological research might lead to advances in fundamental open research questions. They understand how modern scientific publications in the field are structured and how literature search is performed efficiently.

Content

The subject matter are scientific papers, either classical seminal papers, or papers from current AI and robotics conferences. The papers are selected to represent core approaches towards real-world AI, for instance, model-free and model-based RL, classical planning and control, real-world- and robotics-centric approaches, sim2real and real2sim, exploiting abstractions and hierarchies. The exercises require students to read scientific papers, watch related videos, discuss and find related/competing literature, (re-)formalize the exact problem formulation of papers, and potentially reproduce results. The lectures (this is not a seminar!) introduce further background and discuss the papers in a larger scientific context.

Module Components

Pflichtgruppe:

All Courses are mandatory.

Course Name	Type	Number	Cycle	Language	SWS	VZ
AI and Robotics: Research	IV	3434 L 10657	SoSe	English	4

Workload and Credit Points

AI and Robotics: Research (IV):

Workload description	Multiplier	Hours	Total
Exercise work	15.0	4.0h	60.0h
Preparation for the written test	1.0	30.0h	30.0h
Prepare and revisit	15.0	2.0h	30.0h
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

Self-study of scientific publications. Presentation and discussion of this work in the tutorials. Building on this, lectures that provide a deeper introduction to the scientific context.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

This course is intended for senior MSc students interested in becoming a researcher in AI or robotics. Students should have * in depth knowledge in robotics (passed a robotics course) * General knoweldge in AI and machine learning

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
Essay on a lecture topic	50	written	2-10 pages
Written test	50	written	60 minutes

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 25.

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