Winter Semester

Inhalt:

• Einführung in die Sensorik
• Wandlerprinzipien
• Sensor-Parameter
• Messung mechanischer Größen
• Signalverarbeitung

Lernziele und Kompetenzen:

Die Studierenden sollen die grundlegenden Verfahren bei der Messung nicht-elektrischer Größen mit Hilfe elektrischer Sensoren kennenlernen und verstehen, wie diese bei Aufgaben aus dem Bereich der modernen industriellen Prozessmesstechnik angewandt werden. Dazu werden die wichtigsten in der Sensorik verwendeten Prinzipien zur Wandlung physikalischer Größen in elektrische Signale behandelt. Hierbei wird auf die anwendungstechnischen Gesichtspunkte von Sensoren zur Messung elektromechanischer Größen in mechatronischen Komponenten und Systemen eingegangen. Dies beinhaltet auch die Betrachtung von elektrischen Schaltungen und Algorithmen zur Auswertung einzelner oder mehrerer Wandler.

Content:

• Scope and importance of electrical measurement technology.
• The basics of measurement
• Fourier transform
• Laplace transform
• Network analysis in time and Laplace domain
• Transfer function and Bode diagram
• Nonlinear components, circuits and systems
• Operational amplifier
• Measuring amplifier
• Measurement errors
• Measurement of direct current and direct voltage
• deflection bridges
• Adjustment bridges, measurement of electrical impedances

Learning objectives and competencies:

The students

• classify the discussed methods according to their suitability for specific problems (time-frequency domain, linear/nonlinear).
• select and apply suitable methods for the analysis of electrical networks.
• interpret the results and show correlations between the solution methods.
• know simple basic circuits with operational amplifiers and are able to analyze them.
• know the measurement circuits dealt with and their possible applications.
• analyze bridge circuits.
• apply basic concepts of measurement error calculation to measurement circuits.
• reflect independently on their own learning process and use the attendance time to clarify any deficits identified.

Courses:

Autonomous Systems: From Research to Products (WS, Lecture, 2.5 SWS, Philipp Beckerle)

Content:

• Autonomous Systems
• Actuators
• Mechanics and Mechatronics
• Simulation
• Power Electronics
• Control
• Connectivity and Localization
• Sensors
• Internet of Things
• Regulatory Aspects
• Materials and Additive Manufacturing

The lecture will comprise of 2x 30 minutes impulse talks by Siemens/FAU experts followed by a 30 minutes discussion by everybody (language flexible for students)

Learning objectives and competencies:

On successful completion of this module, students will be able to:

• describe and discuss autonomous systems and their components.
• understand the challenges of the hardware and software design and their interactions.
• scale solutions by connectivity.
• understanding the obstacles for industrial realization from theoretical considerations and getting the product in to the market.

Course:

Seminar Mensch-Roboter-Interaktion (WS, Seminar, 2 SWS, compulsory attendance, Philipp Beckerle, Adna Bliek)

Content:

In the seminar, students will analyze, present, and discuss recent research topics in human-robot-interaction. This will comprise aspects of cognitive and physical human-robot interaction and related topics of human and engineering sciences. Besides reflecting contemporary literature, the students are asked to conclude and suggest directions for future research.

Learning objectives and competencies:

On successful completion of this module, students will be able to comprehend and convey recent research challenges in the area of human-robot interaction. Moreover, they are prepared to infer future research lines from recent developments.

Course:

Seminar Autonomous Systems and Mechatronics (WS, Seminar, 2 SWS, compulsory attendance, Philipp Beckerle, Rodrigo J. Velasco Guillen)

Content:

In the seminar, students will analyze, present. and discuss recent research topics in autonomous systems and mechatronics. This will comprise mechatronic component, system, and control design as well as advanced methods aiming at autonomous operation. Besides reflecting contemporary literature, the students are asked to conclude and suggest directions for future research.

Learning objectives and competencies:

On successful completion of this module, students will be able to comprehend and convey recent research challenges in the area of autonomous system and mechatronics. Moreover, they are prepared to infer future research lines from recent developments.

Courses: 

Human-Robot Interaction Laboratory (WS, Praktikum, Philipp Beckerle). 

Content: 

Six experiments are completed in the HRI (Human-Robot Interaction) practical course. After an introduction to ROS and Python, three experiments are carried out with a Franka-Emika lightweight robot and two experiments with a humanoid NAO robot. The structure of each experiment is composed of a preparation phase, an execution phase, and a reflection phase, in which the participants work in groups on tasks to create a complex application on each of the platforms. 

• Introduction to the Robot Operating System (ROS) 

• Introduction to Python 
• Teleoperation of the lightweight robot 
• Collaboration with the lightweight robot 
• Collision detection and reconfiguration with the lightweight robot 
• Object recognition with the humanoid robot as platform 
• Object recognition with neural networks   

Learning objectives and competencies: 

Upon completion of the lab course, students will be able to understand the basic concepts of ROS and design applications of a lightweight robot in terms of human-machine interaction. They will learn how humanoid robots work and assess their current state of the art.