Inhalt

[ 481VRTRRD2K22 ] KV Robot Dynamics II

Versionsauswahl
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Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M - Master's programme Mechatronics Andreas Müller 2 hpw Johannes Kepler University Linz
Detailed information
Original study plan Master's programme Mechatronics 2025W
Learning Outcomes
Competences
The students know and understand methods for the efficient modeling of complex stationary and non-stationary robots using Lie groups. They are able to implement these methods and apply them to practically relevant examples (industrial robots, mobile robots, humanoids, space robots).
Skills Knowledge
  • Understanding and application of the description of spatial motions using Lie groups (k4)
  • Understanding and application of canonical parameterizations of the Lie groups SO(3) and SE(3) (k4)
  • Understanding and application of the description of the kinematics of serial robots using the product of exponentials (POE) (k4)
  • Understanding and application of Lie group-based modeling of the dynamics of stationary robots (k3)
  • Understanding and application of Lie group-based modeling of the dynamics of non-stationary robots (k3)
  • Understanding and application of Lie group-based modeling of the dynamics of non-stationary robots without the influence of gravity (space robots) (k3)
  • Independent implementation and application of numerical methods for modeling stationary and non-stationary robots (k5)
  • Description of spatial motions using Lie groups
  • canonical parameterizations of the Lie groups SO(3) and SE(3)
  • Description of the kinematics of serial robots using the product of exponentials (POE)
  • Lie group-based methods for modeling the dynamics of stationary robots
  • Lie group-based methods for modeling the dynamics of non-stationary robots
  • Lie group-based methods for modeling the dynamics of non-stationary robots without the influence of gravity (space robots)
  • Numerical methods for modeling stationary and non-stationary robots and their implementation
  • Numerical Methods for solving the inverse Kinematics Problem of general Robots
Criteria for evaluation Homework, oral or written exam
Methods Blackboard and slide presentation
Language German
Study material - Lecture notes - K.M. Lynch, F.C. Park: Modern Robotics: Mechanics, Planning, and Control, Cambridge University Press, 2017 - R.M. Murray, Z. Li, and S.S. Sastry: A Mathematical Introduction to Robotic Manipulation, CRC Press Boca Raton, 1994 - Jorge Angeles: Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms, Springer, 3rd ed., 2007 - JKU KUSSS and/or Moodle
Changing subject? No
Corresponding lecture (*)MEMWBKVAKRO: KV Ausgewählte Kapitel der Robotik (3 ECTS)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence