Inhalt

[ 481VRTRSR1V22 ] VL Robot Control I

Versionsauswahl
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 are able to derive advanced kinematic and dynamic models for robots and identify parameters. They can apply these models specifically in trajectory planning, nonlinear position, force and camera-based control.
Skills Knowledge
Specifically, they can

  • analyze robot kinematics and calculate inverse kinematics (k3,k4)
  • carry out a geometric robot calibration (k3,k4),
  • derive equations of motion (subsystems) (k3),
  • identify dynamic robot parameters (k3,k4),
  • apply trajectory planning (especially clothoids, B-splines) (k3)
  • design nonlinear position controls (computed torque in joint and world coordinates, adaptive control, underactuated robots) (k3),
  • design direct (hybrid, parallel) and indirect (impedance, admittance) force controls (k3,k6),
  • apply camera-based controls (position-based, image-based) (k2,k3).
  • Geometric robot calibration
  • Equations of motion
  • Singularities
  • Parameteridentification
  • Trajectory planning
  • Nonlinear position control
  • Force Control
  • Visual Servoing
Criteria for evaluation Oral exam
Methods Blackboard and slide presentation, use of modern software tools.
Language German
Study material
  • Lecture Notes
  • JKU KUSSS and/or Moodle
Changing subject? No
Earlier variants They also cover the requirements of the curriculum (from - to)
MEMWBVOROBO: VO Robotics (2010S-2022S)
On-site course
Maximum number of participants -
Assignment procedure Assignment according to sequence