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SoSe 2022 - SoSe 2022

English

AI and Robotics: Research

6

Toussaint, Marc

Benotet

Portfolioprüfung

English

Zugehörigkeit


Fakultät IV

Institut für Technische Informatik und Mikroelektronik

34342100 FG Intelligent Systems

Keine Angabe

Kontakt


MAR 4-4

Toussaint, Marc

office@lis.tu-berlin.de

Lernergebnisse

The students can efficiently read state-of-the-art publications in AI and robotics. They can understand core research questions and methodological approaches that such publications 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, evaluated, and how literature search is performed efficiently.

Lehrinhalte

The subject matter of this course are scientific papers, either classical seminal papers, or papers from current AI and robotics conferences. The papers are selected to represent core approaches in AI and robotics, for instance, classical robot planning and control, model-free and model-based RL, sim2real and real2sim, exploiting abstractions and hierarchies. The students read the papers in detail, watch related videos, find related and competing literature, and learn what it means to review such papers. In course sessions, the papers are discussed jointly in depth. The course complements reading such state-of-the-art papers with classical lectures on the specific methods used in the papers -- thereby motivating basic method teaching from the perspective of state-of-the-art research.

Modulbestandteile

Compulsory area

Die folgenden Veranstaltungen sind für das Modul obligatorisch:

LehrveranstaltungenArtNummerTurnusSpracheSWS ISIS VVZ
AI and Robotics: ResearchIV3434 L 10657SoSeen4

Arbeitsaufwand und Leistungspunkte

AI and Robotics: Research (IV):

AufwandbeschreibungMultiplikatorStundenGesamt
Exercise work15.04.0h60.0h
Presence15.04.0h60.0h
Preparation for the written test1.030.0h30.0h
Prepare and revisit15.02.0h30.0h
180.0h(~6 LP)
Der Aufwand des Moduls summiert sich zu 180.0 Stunden. Damit umfasst das Modul 6 Leistungspunkte.

Beschreibung der Lehr- und Lernformen

The teaching methodology of this "research course" follows the two objectives: * Get students to read and work with state-of-the-art publications as early as possible. * Motivate basic method lectures top-down from state-of-the-art research. This is not a seminar, but integrates discussing modern research and method teaching more tightly. The course is structured in about 4-5 cycles, each anchored at a specific state-of-the-art publication: * All students read the paper as homework and prepare for answering questions about it. * The paper is jointly discussed in much detail in 2 course sessions, requiring students to answer questions about it. * Motivated by the paper, a classical lecture on methods employed by the paper is given, deepening the understanding of this area of research. * Written report assignments (paper or literature reviews) let students understand the structure, evaluation and citation of scientific papers. * Classical method exercises prepare for a final test that recaps the contents of the method lectures.

Voraussetzungen für die Teilnahme / Prüfung

Wünschenswerte Voraussetzungen für die Teilnahme an den Lehrveranstaltungen:

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

Verpflichtende Voraussetzungen für die Modulprüfungsanmeldung:

Dieses Modul hat keine Prüfungsvoraussetzungen.

Abschluss des Moduls

Benotung

Benotet

Prüfungsform

Portfolio examination

Art der Portfolioprüfung

100 Punkte insgesamt

Sprache(n)

English

Prüfungselemente

NamePunkteKategorieDauer/Umfang
(Deliverable assessment) Written reports (paper or literature reviews)50schriftlicheach 2-5 pages
(Examination) Written test50schriftlich60 minutes

Notenschlüssel

Notenschlüssel »Notenschlüssel 2: Fak IV (2)«

Gesamtpunktzahl1.01.31.72.02.32.73.03.33.74.0
100.0pt95.0pt90.0pt85.0pt80.0pt75.0pt70.0pt65.0pt60.0pt55.0pt50.0pt

Dauer des Moduls

Für Belegung und Abschluss des Moduls ist folgende Semesteranzahl veranschlagt:
1 Semester.

Dieses Modul kann in folgenden Semestern begonnen werden:
Sommersemester.

Maximale teilnehmende Personen

Die maximale Teilnehmerzahl beträgt 25.

Anmeldeformalitäten

Please register via the respective ISIS page. Also check for additional information on our teaching website https://argmin.lis.tu-berlin.de/teaching/

Literaturhinweise, Skripte

Skript in Papierform

Verfügbarkeit:  nicht verfügbar

 

Skript in elektronischer Form

Verfügbarkeit:  nicht verfügbar

 

Literatur

Empfohlene Literatur
Keine empfohlene Literatur angegeben

Zugeordnete Studiengänge


Diese Modulversion wird in folgenden Studiengängen verwendet:

Studiengang / StuPOStuPOsVerwendungenErste VerwendungLetzte Verwendung
Dieses Modul findet in keinem Studiengang Verwendung.

Sonstiges

Keine Angabe