MSc C. Manss

PhD student
Circuits and Systems (CAS), Department of Microelectronics

Expertise: Swarm communication

Themes: Signal processing for communication


Christoph Manss is a part-time PhD student with Geert Leus, working at the German Aerospace Center Institute of Communications and Navigation.

Robotic exploration aims at reconstructing (or understanding) an unknown physical process autonomously and as efficiently as possible. In many situations, however, the exploration domain is either vast and a full coverage of it is time consuming for one agent. Another issue is the robustness of the exploration mission, where a single robot represents a single point of failure. This is the reason why this project focuses on multi-agent exploration systems, called swarms. The multi-agent systems coordinate their actions by cooperatively collecting measurements and jointly processing the acquired data, thus they split the computational complexity of the estimation, and risk of whole system failure, among individual agents.


  1. Distributed splitting-over-features Sparse Bayesian Learning with Alternating Direction Method of Multipliers
    C. Manss; D. Shutin; G. Leus;
    In 2018 IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP),
    Calgary (Canada), IEEE, pp. 3654-3658, April 2018. ISSN: 2379-190X. DOI: 10.1109/ICASSP.2018.8462229

BibTeX support

Last updated: 22 Mar 2018

Christoph Manss