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Curriculum

Modul RO5300-KP06

Humanoid Robotics (HumRob)

Duration:


1 Semester
Turnus of offer:


each summer semester
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:
  • Development of humanoid robots: The special features of the kinematics of humanoid robots based on the human model are considered. Challenges and strategies for the design of humanoid robots are discussed. Mechatronic concepts for humanoid robot development are presented using examples.
  • Control of humanoid walking robots: Basic concepts for the planning and control of walking movements are introduced. The characteristics of human locomotion are considered. Based on this, the motion planning and control of robotic walking is presented.
  • Gripping with humanoid robot hands: Grip planning and grip synthesis with humanoid robot hands is presented. Basic characteristics of human grasping are considered. Analytical methods for planning and evaluating grasps are discussed and modern approaches for learning grasps are introduced.
  • Modeling and planning: Basic concepts of modeling and planning tasks are discussed. The description of a goal-oriented action using modular actions is shown. Optimization methods for automated action planning are presented.
Qualification-goals/Competencies:
  • Students acquire the ability to independently solve application-oriented exercises from robotics, with a focus on (humanoid) robots with a mathematical background
  • You have a basic understanding of the kinematic properties of humanoid robots
  • They know the requirements for the design of humanoid robots and understand mechatronic concepts for the development of human-inspired robot kinematics.
  • They understand the complexity of controlling humanoid robots, especially with regard to bipedal walking and gripping with five-fingered hands, including the dynamic processes
  • You have gained an insight into learning methods for planning the action sequences of humanoid robots, including the dynamic processes
  • You have experience in programming humanoid robots
Grading through:
  • Oral examination
Responsible for this module:
Teachers:
Literature:
  • Murray, Li and Sastry: A mathematical introduction to robotic manipulation - CRC Press 1994
Language:
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, oral exam, 100% of the module grade

Letzte Änderung:
24.1.2025