I received my diploma in electrical engineering from TU Dresden. In 2017 I joined the Autonomous Motion Department at the Max Planck Institute for Intelligent Systems. My current research focuses on distributed and event-based wireless control of cyber-physical systems. This in particular involves the joint integration of communication and control systems, which must be robust enough to deal with the imperfections of wireless information transmission (delays, packet drops). As communication is a shared resource in distributed settings, the communication should be reduced to the necessary instants exploiting event-based methods. One crucial point here is the capability to predict future communication demands to allow the communication system to reallocate resources.
Apart from this my research interests include general control theory, robotics, learning and autonomous systems, and path planning algorithms.
Future intelligent systems such as autonomous robots, self-driving cars, or manufacturing systems will be connected over communication networks. Facilitated by the network, the individual agents can coordinate their actions and thus achieve functionality exceeding the individual unit (for example, driving in formation or collaborati...
Wireless communication and embedded computation are key enabling technologies for future autonomous systems. Embedded devices allow for gathering and processing data in remote and distributed locations, while wireless multi-hop networks offer unprecedented flexibility in sharing data between these devices, for example, to increase c...
2018, Under review at a conference (conference) Submitted
Closing feedback loops fast and over long distances is key to emerging applications; for example, robot motion control and swarm coordination require update intervals below 100 ms. Low-power wireless is preferred for its flexibility, low cost, and small form factor, especially if the devices support multi-hop communication. Thus far, however, closed-loop control over multi-hop low-power wireless has only been demonstrated for update intervals on the order of multiple seconds. This paper presents a wireless embedded system that tames imperfections impairing control performance such as jitter or packet loss, and a control design that exploits the essential properties of this system to provably guarantee closed-loop stability for linear dynamic systems. Using experiments on a testbed with multiple cart-pole systems, we are the first to demonstrate the feasibility and to assess the performance of closed-loop control and coordination over multi-hop low-power wireless for update intervals from 20 ms to 50 ms.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems