Contact
| Name | Matteo (Ceriotti) Zella |
|---|---|
| Position | Senior Researcher |
| Phone | +49-201-183-6364 |
| Fax | +49-201-183-4176 |
| matteo.zella@uni-due.de | |
| Address | Schützenbahn 70 Building SA 45127 Essen |
| Room | SA-329 |
Research Interests
- Internet of Things, Cyber-Physical Systems, Networked Embedded Systems… and Synonyms
- Everything Wireless yet Dependable
- No-Surprises, Easy Deployment of Low-Power Wireless Systems: From Design to Validation
Awards
- Alexander von Humboldt Post-Doctoral Fellowship, Germany, 2012
- EWSN/CONET Best Ph.D. Thesis Award, Trento, Italy, 2012
- Best Paper Award at IPSN/SPOTS, Chicago (IL), USA, 2011
- Best Paper Award at IPSN/SPOTS, San Francisco (CA), USA, 2009
Employments
- Since 04.2014 University of Duisburg-Essen, Senior Researcher (Networked Embedded Systems, NES)
- 08.2012–03.2014 RWTH Aachen University, Alexander von Humboldt Post-Doctoral Fellow (Communication and Distributed Systems, COMSYS)
- 01.2012–07.2012 RWTH Aachen University, Post-Doctoral Researcher (Communication and Distributed Systems, COMSYS)
- 05.2011–12.2011 Fondazione Bruno Kessler, Post-Doctoral Researcher (Embedded Systems, ES)
- 11.2006–04.2011 Fondazione Bruno Kessler, Ph.D. Student (Embedded Systems, ES)
- 05.2006–10.2006 Politecnico di Milano, Research Assistant (Dipartimento di Elettronica e Informazione, DEI)
Education
- 2011 – PhD in Information and Communication Technology from University of Trento and Fondazione Bruno Kessler, Italy (Topic: Guaranteeing Communication Quality in Real World WSN Deployments)
- 2006 – Master of Science in Computer Engineering from Politecnico di Milano, Italy
- 2003 – Bachelor of Science in Computer Engineering from Politecnico di Milano, Italy
Publications
2022 |
Carlos Medina-Sánchez, Matteo Zella, Jesús Capitán, Pedro José Marrón: From Perception to Navigation in Environments with Persons: An Indoor Evaluation of the State of the Art. In: Sensors, vol. 22, no. 3, 2022, ISBN: 1424-8220. (Type: Journal Article | Abstract | Links)@article{medina2022mdpi,Research in the field of social robotics is allowing service robots to operate in environments with people. In the aim of realizing the vision of humans and robots coexisting in the same environment, several solutions have been proposed to (1) perceive persons and objects in the immediate environment; (2) predict the movements of humans; as well as (3) plan the navigation in agreement with socially accepted rules. In this work, we discuss the different aspects related to social navigation in the context of our experience in an indoor environment. We describe state-of-the-art approaches and experiment with existing methods to analyze their performance in practice. From this study, we gather first-hand insights into the limitations of current solutions and identify possible research directions to address the open challenges. In particular, this paper focuses on topics related to perception at the hardware and application levels, including 2D and 3D sensors, geometric and mainly semantic mapping, the prediction of people trajectories (physics-, pattern- and planning-based), and social navigation (reactive and predictive) in indoor environments. |
2021 |
Sayedsepehr Mosavat, Matteo Zella, Pedro José Marrón: Demo: SOCRAETES: SOlar Cells Recorded And EmulaTed EaSily. In: International Conference on Embedded Wireless Systems and Networks (EWSN), ACM Digital Library, 2021, ISBN: 978-0-9949886-5-2, (Best Video Award for the Posters and Demos Track). (Type: Inproceedings | Abstract | Links)@inproceedings{Mosavat2021,We propose SOCRAETES, a simple to replicate tool used for recording and emulation of energy harvesting environments. SOCRAETES aims at aiding with repeatable experimentations during the design and evaluation of energy harvesting devices. The tool is particularly designed with the goal of avoiding complex hardware circuitry. This will allow researchers and hobbyists with little prior experience in electronics to replicate the work, and by doing so benefit from the insights such a tool provides for the design and evaluation of energy harvesting systems. The current implementation of SOCRAETES can measure and emulate solar cell voltages and currents in the range of 0-6.5 V and 0.5-55 mA, respectively. Moreover, the range of measurement and emulation can be modified for specific energy environments and harvesters by utilizing different passive components. This will, in turn, result in higher overall achievable accuracy. |
2020 |
Hugues Smeets, Matteo Ceriotti, Pedro José Marrón: Adapting Recursive Sinusoidal Software Oscillators for Low-Power Fixed-Point Processors. In: ACM Transactions on Embedded Computing Systems, vol. 19, no. 3, 2020, ISSN: 1539-9087. (Type: Journal Article | Links)@article{Hugues2020TECS, |
Carlos Medina-Sánchez, Matteo Zella, Jesús Capitán, Pedro José Marrón: Semantic Mapping with Low-Density Point-Clouds for Service Robots in Indoor Environments. In: Appl. Sci., vol. 10, no. 7154, 2020. (Type: Journal Article | Abstract | Links)@article{Medina-Sanchez2020-1,The advancements in the robotic field have made it possible for service robots to increasingly become part of everyday indoor scenarios. Their ability to operate and reach defined goals depends on the perception and understanding of their surrounding environment. Detecting and positioning objects as well as people in an accurate semantic map are, therefore, essential tasks that a robot needs to carry out. In this work, we walk an alternative path to build semantic maps of indoor scenarios. Instead of relying on high-density sensory input, like the one provided by an RGB-D camera, and resource-intensive processing algorithms, like the ones based on deep learning, we investigate the use of low-density point-clouds provided by 3D LiDARs together with a set of practical segmentation methods for the detection of objects. By focusing on the physical structure of the objects of interest, it is possible to remove complex training phases and exploit sensors with lower resolution but wider Field of View (FoV). Our evaluation shows that our approach can achieve comparable (if not better) performance in object labeling and positioning with a significant decrease in processing time than established approaches based on deep learning methods. As a side-effect of using low-density point-clouds, we also better support people privacy as the lower resolution inherently prevents the use of techniques like face recognition. |
Carlos Medina-Sánchez, Jesús Capitán, Matteo Zella, Pedro José Marrón: Point-Cloud Fast Filter for People Detection with Indoor Service Robots. In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC), pp. 161-165, 2020. (Type: Inproceedings | Links)@inproceedings{9287928, |
Simon Janzon, Carlos Medina-Sánchez, Matteo Zella, Pedro José Marrón: Person Re-Identification in Human Following Scenarios: An Experience with RGB-D Cameras. In: 2020 Fourth IEEE International Conference on Robotic Computing (IRC), pp. 424-425, 2020. (Type: Inproceedings | Links)@inproceedings{9287913, |
2019 |
Sascha Jungen, Matteo Ceriotti, Pedro José Marrón: Follow the Rays: Understanding the Interplay between Environment and System through In-Situ Wireless Modelling. In: Proceedings of the 22nd ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'19), Miami, USA, 2019. (Type: Inproceedings | )@inproceedings{sascha19mswim, |
Sascha Jungen, Matteo Ceriotti, Valentin Fitz, Alexander Julian Golkowski, Pedro José Marrón: Where are You? Localising Stationary Nodes with Limited Information. In: Proceedings of the IEEE 44th Conference on Local Computer Networks (LCN), Osnabrück, Germany, 2019. (Type: Inproceedings | )@inproceedings{sascha19lcn, |
Christian Renner, Matteo Zella: The Internet of Intermittent Things, a Land of Low-Hanging Fruits. In: Proceedings of the 7th International Workshop on Energy Harvesting & Energy-Neutral Sensing Systems (ENSsys 2019)
, 2019. (Type: Inproceedings | )@inproceedings{renner19enssys, |
Carlos Medina-Sánchez, Matteo Zella, Jesús Capitán, Pedro José Marrón: Efficient Traversability Mapping for Service Robots Using a Point-cloud Fast Filter. In: Proceedings of the 19th International Conference on Advanced Robotics (ICAR'19), Belo Horizonte, Brazil, 2019. (Type: Inproceedings | )@inproceedings{medina19:pff, |