Intelligent Machine Programming Lab

What it is about

You will learn hands-on robot programming and control design from low to high levels. At the beginning you will familiarize yourself with safety rules, ROS and various robot platforms (e.g. Universal Robots Ue10/Ue5); later you will program robots, connect hardware and controllers, and solve stepped tasks up to complex practical projects.

What you will be able to do

Understand the functional principles of modern robotic systems
Safe and professional interaction with different robots
Program robots and write code
Develop and apply control designs for robotic systems
Implement complex tasks with robots

What the module consists of

VorlesungTransmission of theoretical foundations
Labor/PraktikumConducting experiments and implementing tasks on the robot
Final Task/ProjektApplication and evaluation of learned methods on a complex task

Teaching method

Lehrvortragdirect transfer of theoretical knowledge
LaboraufgabenTesting and practicing the learned approaches on real systems
Abschlussaufgabe mit PräsentationAssessment of transferability to complex, real tasks

What you should already know

Fundamentals of control theory
Fundamentals of robotics
C, C++recommended
Pythonrecommended

Assessment

LaboraufgabenProject workPresentation

The assessment is based on several lab tasks and a final major task. There are 4 lab tasks (each 15% of the final grade), each consisting of code/algorithm (5%), system implementation (5%), and solution of the given problem (5%). The final major task accounts for 40% of the grade and is evaluated by programming (10%), solving the task (25%), and final presentation (5%).

Reading list

Khalil, Wisama & Etienne Dombre - Modeling, identification and control of robots
Khatib, Oussama - A unified approach for motion and force control of robot manipulators: The operational space formulation
Craig, John J. - Introduction to robotics: mechanics and control

Dates

LectureIntelligent Machine Programming Lab

Mon10:00–10:45
Externer Ort (siehe Anmerkung)
12× · 12.10.–11.01.
- 12.10.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.

Lab courseIntelligent Machine Programming Lab

Mon10:45–16:00
Externer Ort (siehe Anmerkung)
12× · 12.10.–11.01.
- 12.10.
- 19.10.
- 26.10.
- 02.11.
- 09.11.
- 16.11.
- 23.11.
- 30.11.
- 07.12.
- 14.12.
- 21.12.
- 11.01.

From the current semester, not binding.

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