Robotics: Current Topics

Navigation To modulepage
PDF Generate PDF
XML Generate XML
Display language

Robotics: Current Topics

3

English

#40016 / #5

WS 2020/21 - WS 2020/21

Fakultät IV

MAR 5-1

Institut für Technische Informatik und Mikroelektronik

34341700 FG Robotik und Bioinformatik

Brock, Oliver

Bhatt, Aditya

lehre@robotics.tu-berlin.de

http://www.robotics.tu-berlin.de/menue/teaching/

POS-Nummer PORD-Nummer Modultitel
2345278 35122 Robotics: Current Topics

Learning Outcomes

After attending the module, students have in depth knowledge of specific areas of Robotics under active research. Students are capable of doing literature research and review literature critically. They are able to write papers in a journal or conference format, and can communicate complex matters in oral presentations.

Content

Seminar on changing topics from Robotics and related fields of research, e.g. kinematics, dynamics, control, localization, planning, representation learning, heuristics, collision avoidance, computer vision, machine learning, probabilistic robotics.

Module Components

Pflichtteil:

All Courses are mandatory.

Course Name Type Number Cycle Language SWS VZ
Robotics: Aktuelle Themen SEM 0433 L 409 SS No information 2

Workload and Credit Points

Robotics: Aktuelle Themen (SEM):

Workload description Multiplier Hours Total
Attendance 15.0 2.0h 30.0h
Presentation 1.0 20.0h 20.0h
Research on the assigned topic 1.0 20.0h 20.0h
Written component 1.0 20.0h 20.0h
90.0h(~3 LP)
The Workload of the module sums up to 90.0 Hours. Therefore the module contains 3 Credits.

Description of Teaching and Learning Methods

Seminar with active participation of the students.

Requirements for participation and examination

Desirable prerequisites for participation in the courses:

The Robotics lecture course should have been attended. Students who have not attended it could still be admitted after a consultation.

Mandatory requirements for the module test application:

No information

Module completion

Grading

graded

Type of exam

Portfolio examination

Type of portfolio examination

100 points in total

Language

English

Test elements

Name Points Categorie Duration/Extent
(Deliverable assessment) Seminar presentation 50 oral 45 Minutes
(Deliverable assessment) Written report 50 written 2-4 Pages

Grading scale

1.01.31.72.02.32.73.03.33.74.0
95.090.085.080.075.070.065.060.055.050.0

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 20.

Registration Procedures

The current information can be found at http://www.robotics.tu-berlin.de/menue/teaching/ and in the ISIS course assigned to the seminar. Registration for examination is according to the examination regulations. The exact details of the registration process shall be discussed in one of the seminar sessions.

Recommended reading, Lecture notes

Lecture notes

Availability:  unavailable

Electronical lecture notes

Availability:  unavailable

Literature

Recommended literature
No recommended literature given.

Assigned Degree Programs

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

Verwendungen (1)
Studiengänge: 1 Stupos: 1 Erstes Semester: WS 2020/21 Letztes Semester: WS 2020/21

This moduleversion is used in the following modulelists:

Students of other degrees can participate in this module without capacity testing.

Master-Studiengang Informatik / Studienschwerpunkt Intelligente Systeme Technische Informatik / Studienschwerpunkt Technische Anwendungen (Elektrotechnik und Informatik) Masterstudiengang Technische Informatik StO/PO 2012: Studienschwerpunkt Automatisierungstechnik (Control Systems; Elektrotechnik oder Technische Informatik) Studienschwerpunkt Kognitive Systeme (Cognitive Systems and Robotics; Informatik) If there is sufficient capacity, it can also be selected as a compulsory elective module in other courses of study, e.g. MSc. Physikalische Ingenieurwissenschaft, MSc. Computational Engineering Science

Miscellaneous

No information