Lecture News

Biologically Inspired Robots 21/22

Nr.TitelSWSdateroomBegin
INF-61-53-V-7 Biologically Motivated Robots3V

Monday 14:00 - 15:30

Wednesday 14:00 - 15:30

13-305

42-110

25.10.2021
INF-61-53-U-7Exercise (irregular)

within lecture time slots

 

 

 

Face-to-Face Lecture !

Both, lecture and exercise sessions will be held as face-to-face courses maintaining the hygiene requirements of the university.
It's mandatory to wear a mask within the lecture rooms as well as checking in with a valid 3G-Intake-Code.

Live Stream of the Lectures

Both our lecture rooms are equipped with livestream-technique and are available at lecture times via the following links

  13-305 :  https://livestream.uni-kl.de/?stream=13-305

  42-110 :  https://livestream.uni-kl.de/?stream=42-110

There will be no lecture recordings being available !

 

Lecture Material

Login with RHRK username and password.

01_introduction.pdf

02_mechatronics_1.pdf  02_mechatronics_2.pdf

03_control_methods_1.pdf  03_control_methods_2.pdf  03_reinforcement_learning.pdf

04_movement_control.pdf

05_human_robot_interaction.pdf

06_embodiment.pdf

Exercises

Exercise_01.pdf (Discussion: Mo, 15.11.2021)

Exercise_02.pdf (Discussion: Mo, 29.11.2021)

Exercise_03.pdf (Discussion: We, 15.12.2021)

Exercise_04.pdf (Discussion: We, 12.01.2022)

Exercise_05.pdf UPDATED! (Discussion: We, 02.02.2022)

Exercise_05_cognitive_science.pdf

Exercise_06.pdf (Discussion incl. Q&A-Session: We, 09.02.2022)
 

Contact Person

M. Sc. Patrick Vonwirth, Building 48-361

M. Sc. Sarwar Paplu, Building 48-369
 

Professor

Prof. Dr. Karsten Berns

Content

The lecture "Biologically Motivated Robots" (BioBots) deals with systems whose mechanical construction, sensor concepts, and control methods have been inspired by nature. The following topics will be covered:

  • Status of research and requirements for the development of BioBots
  • Sensor systems, sensor fusion and driving concepts
  • Adaptive control (neural networks, fuzzy-control, Reinforcement-Learning, genetic algorithms and neuro-oscillators) and Behaviour based control architectures
  • Skills of humanoid robots (locomotion, manipulation, mimics, perception, interaction)
  • Application for BioBot

This course is partly build upon the lecture "Foundations of Robotics". The content of this lecture is assumed to be well known.
 

Requirement

  • Bachelor degree in computer science
  • Core module of the LG Embedded Systems and Robotics
     

Precondition for examination

  • Exercises
  • Final oral examination
     

Literature

  • Webb, B. and Consi, T. R. (2001). Biorobotics. MIT Press.
  • Hirose, S. (1993). Biologically inspired Robots - Snake-Like Locomoters and Manipulators. Oxford Sciens Publications.
  • Song, S.-M. and Waldron, K. J. (1989). Machines That Walk: The Adaptive Suspension Vehicle. The MIT Press, Cambridge, Massachusetts