Schwerpunkt: AI
Die Veranstaltung hat einen synchronen Online-Termin am Mittwoch 10-12h. Darüber hinaus gibt es einen asynchronen Anteil in Form von Videos/ Folien

This course provides the basics of modern robotic control approaches in order to create an architecture for an agent to operate autonomously in an environment. It will provide the basic understanding of the origins of autonomous robots, along with the advantages and disadvantages of the four control architectures: reactive, deliberative, hybrid and behavior-based. Advanced control architectures along with machine learning control will also be introduced. This class will contribute to understanding the challenges of deploying autonomous robots with respect to model dynamics, sensor data, robot actuation and localization. These challenges will be put into practice using a simulated environment in the Python programming language. The student will also learn to basic representations of linear and rotational transformations as well as some applications of probability theory in robotics.

Contents:

• Introduction: Definition of autonomous robots, milestones, range of robot control approaches, definition of behavior, decentralized robot control and bio-inspired robotics
• Representations of transformations: transformations relevant to robotics, display possibilities of rotations e.g. through quaternions, advantages through the knowledge of algebraic properties of the transformations in 2D and 3D
• Sensors and actuators (to be considered as modules for gaining information and the possibility of interaction from the point of view of the control architecture): sensor types, preprocessing, handling of large amounts of data, multimodal sensor solutions, long-term autonomy, actuator types, control (PID, cascade controller, decentralized control), various control objectives e.g. gravity compensation
• Localization: Possible sources of information (eg landmarks, odometry, cameras, laser scanners), dealing with uncertainty, probabilistic localization with the particle filter, map generation with SLAM
• Planning: Various Representations, Restrictive Assumptions of Classic Planning Systems, Plan Space Planning, Graph Planning, Temporal Planning, Path and Motion Planning, Algorithms (e.g., STRIPS and A *)
• Control architectures: principles and examples of reactive, deliberative, hybrid and behavioral approaches. Design of architectures with behavioral levels, engine schema, emergent behavior. Optimal control and machine learning based control will be introduced as well.
• State of the Art: How do the concepts and methods used in current systems come to be used? Modern behavior-based robotic architectures based on the example of locomotion and manipulation, challenges and solutions in the control of kinematically complex robots in the real world.

Bitte Beschreibungen im folgenden Link beachten:
https://agim.uni-bremen.de/lehrveranstaltung/data-science-1/

A large number of problems arising in practical scenarios like communication, transportation, planning, logistics etc. can be formulated as discrete linear optimization problems. This course briefly introduces the theory of such problems. We develop a toolkit to model real-world problems as (discrete) linear programs. We also explore several ways to find integer solutions such as cutting planes, branch & bound, and column generation.

Throughout the course, we learn these skills by modeling and solving, for example, scheduling, packing, matching, routing, and network-design problems. We focus on translating practical examples into mixed-integer linear programs. We learn how to use solvers (such as CPLEX and Gurobi) and tailor the solution process to certain properties of the problem.

This course consists of two phases:

• One week of lectures and practical labs during Mon July 26 – Fri July 30.
• An individual project period: One project has to be modeled, implemented, and solved individually or in a group of at most two students. The topic will be either developed with or provided by the lecturers. The project including the implementation has to be presented before the beginning of the winter semester.

There are no prerequisites except some basic programming skills to participate.

Important: please register for this course by July 1st.
-

Veranstaltungsort/-zeiten:

Mon July 26 – Fri July 30 full time

This course will have asynchronous parts with videos but will mainly be very interactive, synchronous via Zoom.

Profil: SQ, KIKR.
Schwerpunkt: IMA-SQ, AI, VMC
Studiengänge: M-M-Ana-Num

Schwerpunkt: IMAP-AI, IMA-VMC
Die Veranstaltung findet online statt mit synchronen und asynchronen Anteilen.

Profil: SQ.
Schwerpunkt: DMI, SQ
Die Veranstaltung ist inhaltlich identisch mit "Entwurf von Informationssystemen" (keine Doppelanerkennung möglich).

Profil: KIKR.
Schwerpunkt: IMA-AI, VMC

Profil: DMI
Schwerpunkt: IMK-DMI, IMA-VMC

Informatik Master Profil: SQ, KIKR
Erster Termin 13.April 2021 um 12:15h.
Angebot aus dem Mathe-SG, auch in Informatik als IMVT wählbar.

Profil: SQ
Schwerpunkt: SQ

Profil: DMI.
Schwerpunkt: DMI, VMC
Zuzüglich 2 SWS nach Vereinbarung.

Description: http://placc.de/robben/The_Machinic_Project_.pdf

online

Das Seminar findet digital synchron statt.

https://hfk-bremen-professionalisierung.de/2030-2/

Informal Seminar
for those Students whose thesis work I advise: Bachelor & Master levels, Digital Media, Design, Informatik
2 SWS, 0 CP, every second week hopefully in Room 1260 in MZH Thursday 14-16
Hopefully to start on 15th of April

The seminar provide a chance for graduating students to present aspects of their thesis work and discuss it. Besides, we take up any topic of relevence to thesis work.

60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2021 sowie im Wintersemester 2021/22 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de.
60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2021 as well as in winter semester 2021/22. Further information, schedules and registration only on the website https://www.informatica-feminale.de.

Veranstaltung für Doktoranten, jeden 1. Montag im Monat von 14-16h in Raum 5300.

60 Lehrveranstaltungen in Deutsch und Englisch für Bachelor- und Masterstudentinnen aller Fächer. Als General Studies sowie teilweise als Fachstudium im Sommersemester 2021 sowie im Wintersemester 2021/22 anerkannt. Alle Einzelangaben, Zeiten und Anmeldungen jederzeit nur über die Website https://www.informatica-feminale.de.
60 courses in German and English for women Bachelor and Master students from all fields of study. Courses are part of General Studies, some are accepted in Informatics; in the summer semester 2021 as well as in winter semester 2021/22. Further information, schedules and registration only on the website https://www.informatica-feminale.de.