Technische Universität München Robotics and Embedded Systems


Organizers Dongkun Han, Matthias Althoff
Module IN2107
Type Seminar
Semester SS 2016
ECTS 4.0
Time & Location The schedule of presentation examination


Topic Selection

Topic Advisor slideSorted descending
Intention Recognition: Motion Prediction Aaron Pereira slide
Intention Recognition: Activity Recognition Aaron Pereira slide
Social Robotics Aaron Pereira slide
RRT Algorithms Esra Icer slide
Initialization Methods for Optimization Esra Icer slide
Multi-Objective Trajectory Optimization for Manipulators Esra Icer slide
Formalising Rightmost Lane Rule with Overtaking Consideration Albert Rizaldi slide
Real-Time Near-Optimal Control Strategies for Dynamical Systems, such as Autonomous Cars and Robotic Manipulators Bastian Schürmann slide
Control of Dynamical Systems with Input Constraints Bastian Schürmann slide
Efficient Methods for Order Reduction of Zonotopes Bastian Schürmann slide
Comparison of Diff erent Numerical Solvers for Optimal Control Problems on the Example of an Autonomous Car Bastian Schürmann slide
Vehicle Trajectory Prediction based on Maneuver Recognition Silvia Magdici slide
Safety and Performance of Compliant Robots Andrea Giusti slide
Threat Assessment for Road Vehicles Sebastian Söntges slide
Security assessment of Power Systems Ahmed El-Guindy slide
Impact of Renewable Energy Resources on Power Systems Ahmed El-Guindy slide
Identification of Cyber Attacks in the Smart-Grid Ahmed El-Guindy slide
Reachable Set Control based on Zonotopic Calculus Dongkun Han slide
On Estimating the Control Invariant Set Dongkun Han slide



In recent years, three steady trends have been observed in computer science and engineering. First, the increase in functionality and complexity of products, production processes, and software is ongoing and not slowing down. Second, the interaction between the physical parts of a system (mechanics, thermodynamics, sensors, actuators, and others) and its computational elements is becoming tighter and is organized over larger networks, which has resulted in a new class of systems called cyber-physical systems. Third, cyber-physical systems are increasingly safety-critical, since due to their advanced capabilities, they fulfill tasks that were previously only entrusted to humans. Examples are automated road vehicles, surgical robots, automatic operation of smart grids, and collaborative human-robot manufacturing, to name only a few. Each of the mentioned trends increases the demand for new methods for design and verification.

This seminar is on reviewing and suggestions of new techniques to tackle the grand challenge of safe and reliable cyber-physical systems. Topics of the seminar include

- verification of cyber-physical systems - new control concepts in cyber-physical systems - planning in cyber-physical systems - modeling and simulation of cyber-physical systems - applications to automated cars, power systems, and human-robot collaboration