Inhalt

[ 481VRTRSR1P22 ] PR 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 and identify computer-aided kinematic and dynamic robot models and implement nonlinear force, position and vision based controls.
Skills Knowledge
Specifically, they can

  • derive and analyze mathematical models using computer algebra programs (k3,k4,k6),
  • computer-aided calculation of numerical inverse kinematics for robots and carrying out geometric calibrations (k3,k6),
  • plan trajectories in world and joint coordinates (k3),
  • derive computer-aided dynamic robot models (subsystems) and identify dynamic robot parameters based on measurement data (k3,k6),
  • design computer-aided nonlinear controls (computed torque) in world and joint coordinates, as well as force controls (hybrid, parallel) and vision-based controls (k3,k6)
  • Numerical inverse kinematics
  • Equations of motion
  • Geometric robot models
  • Trajectory planning
  • Parameter identification
  • Nonlinear robot control (position, force, camera-based)
Criteria for evaluation Preparation and participation
Methods Simulation studies and laboratory experiments
Language German
Study material JKU KUSSS and/or Moodle
Changing subject? No
On-site course
Maximum number of participants 12
Assignment procedure Assignment according to sequence