Schedule

PLEASE CHECK BACK REGULARLY, DATES & PLACES MAY CHANGE! 

WhatWhen / How?
Kick Off Meeting19.10.2017, 15:00 - 16:30, N1039
Presentation Techniques23.10.2017, starting at 10:30, N0507 (LSR)
Project Plan Presentation02.11.2017, 15:00 - 16:30, N1039
Project Progress Presentation30.11.2017, 15:00 - 16:30, N1039
Report Draft Submission14.12.2017, 12:00, per e-mail to office@nst.ei.tum.de
Final Report Submission11.01.2018, 12:00, per e-mail to office@nst.ei.tum.de
Final Presentation18.01.2018, 15:00 - 16:30, N1039

 

If you missed the kick-off meeting, get in touch Nicolai Waniek as soon as possible.

Project Laboratory Computational Neuro Engineering

Lecturer (assistant)
Number0000000904
Type
Duration4 SWS
TermWintersemester 2017/18
Language of instructionEnglish
Position within curriculaSee TUMonline
DatesSee TUMonline

Dates

Course criteria & registration

Objectives

At the end of the module the students are able to independently design algorithms and computational hardware to process sensory information and to generate motor actions for closed-loop robotic systems. The students will understand principles of information processing in neuronal systems (as eg. distributed operations and event coding), and will be able to apply those principles to problems in technical systems. In addition, the students learn competences in efficient and problem-oriented team working.

Description

The project tasks concern hardware and software topics in the areas of neuroscientific algorithms for data processing and their application to robotics. This includes processing of high-dimensional sensory data (such as obtained from vision or audition), fusing information from such sensor modalities, and ultimately generating motor outputs that enable closed loop systems to intelligently interact in complex environments. Aspects such as hardware/software co-design, distributed parallelized information processing, limiting algorithmic complexity, and realtime data processing play an important role.

Prerequisites

Fundamentals of control engineering and robotics Programming in C/C++ or Java The following modules should have been successfully completed before attending this module: Control systems 1 Fundamentals of Intelligent Robots Computational Intelligence

Examination

oral and written

Links