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Curriculum

Modul RO5300-KP06

Humanoid Robotics (HumRob)

Duration:


1 Semester
Turnus of offer:


Currently not available
Credit points:


6
Course of studies, specific field and terms:
  • Master Biophysics 2019 (optional subject), Elective, 1st or 2nd semester
  • Bachelor Media Informatics 2020 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor Robotics and Autonomous Systems 2020 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor Medical Informatics 2019 (optional subject), medical computer science, 4th to 6th semester
  • Bachelor Medical Informatics 2014 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor Media Informatics 2014 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
  • Bachelor IT-Security 2016 (optional subject), Robotics and Autonomous Systems, Arbitrary semester
  • Bachelor Robotics and Autonomous Systems 2016 (optional subject), Robotics and Autonomous Systems, 5th or 6th semester
Classes and lectures:
  • Humanoid Robotics (exercise, 2 SWS)
  • Humanoid Robotics (lecture, 2 SWS)
Workload:
  • 60 Hours in-classroom work
  • 100 Hours private studies
  • 20 Hours exam preparation
Contents of teaching:
  • Walking and locomotion
  • Soft Robotics
  • Action planning
  • Processing heterogeneous and uncertain knowledge
  • Image processing and sensor technology for humanoid robots
  • Integration of planning and sensor systems
  • Learning for humanoid robots
  • Interaction between humans and humanoid robots
Qualification-goals/Competencies:
  • The students acquire the ability to solve application-oriented exercises from robotics, with a focus on running (humanoid) robots with a mathematical background, independently and on time in a group.
  • You have a basic understanding of the kinematic properties of humanoid robots
  • You understand the complexity and necessity of knowledge processing and sensor data analysis for robotics applications
  • You have gained insight into learning procedures for planning action sequences of humanoid robots, including dynamic processes
  • You understand the hazards and risks involved in the interaction of humans and humanoid robots
Grading through:
  • Written or oral exam as announced by the examiner
Responsible for this module:
Teachers:
  • MitarbeiterInnen des Instituts
Literature:
  • Murray, Li and Sastry: A mathematical introduction to robotic manipulation - CRC Press 1994
  • B. Siciliano, L. Sciavicco: Robotics: Modelling,Planning and Control - Springer 2009
  • Kevin M. Lynch and Frank C. Park: MODERN ROBOTICS, MECHANICS, PLANNING, AND CONTROL - Cambridge University Press 2017
  • Bishop: Pattern Recognition and Machine Learning - Springer 2006
  • Barber: Bayesian Reasoning and Machine Learning - Cambridge University Press 2007
Language:
  • offered only in English
Notes:

Admission requirements for taking the module:
- None

Admission requirements for participation in module examination(s):
- Successful completion of exercise assignments as specified at the beginning of the semester

Module Exam(s):
- RO5300-L1: Humanoid Robotics, Form of examination is specified at the beginning of the semester, 100% of the module grade

Letzte Änderung:
9.5.2023