Titus Cieslewski

MSc EPF Lausanne

Robotics and Perception Group

Department of Informatics

University of Zurich

Email: titus (at) ifi (dot) uzh (dot) ch

Office: Andreasstrasse 15, AND 2.12

I am a Ph.D. student at the Robotics and Perception Group led by Prof. Davide Scaramuzza since January 2016. Currently, I am working on multi-agent SLAM and place recognition. I received my Bachelor's and my Master's degree in Microengineering from EPFL in 2012 and 2014, respectively. During my Bachelor's degree, I spent an exchange year at Carnegie Mellon University, Pittsburgh, USA. I did my Master Thesis at the Autonomous Systems Lab at ETH Zurich, where I spent one year as research assistant afterwards.



Research Interests


Multi-agent SLAM

I am interested in how multiple robots can collaboratively build a map in an unknown 3d environment. In particular, my research is on how this can be achieved in a decentralized manner.

Place Recognition

Place Recognition is an essential part of multi-agent SLAM. It allows the different robots involved in multi-agent SLAM to localize themselves with respect to the maps created by the other robots, thus enabling multi-robot loop closure, and the creation of a globally consistent map. Beside its use in multi-agent SLAM, I am interested in making visual place recognition robust to changes in appearance.

Publications


  • T. Cieslewski, S. Lynen, M. Dymczyk, S. Magnenat and R. Siegwart, Map api-scalable decentralized map building for robots, Proc. IEEE International Conference on Robotics and Automation (ICRA), 2015, Seattle. [ PDF ]
  • T. Cieslewski, E. Stumm, A. Gawel, M. Bosse and R. Siegwart, Point Cloud Descriptors for Place Recognition using Sparse Visual Information, Proc. IEEE International Conference on Robotics and Automation (ICRA), 2016, Stockholm. [ PDF ]
  • A. Quraishi, T. Cieslewski, S. Lynen and R. Siegwart, Robustness to Connectivity Loss for Collaborative Mapping, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016. [ PDF ]
  • A. Gawel, T. Cieslewski, R. Dub�, M. Bosse, R. Siegwart and J. Nieto, Structure-based Vision-Laser Matching, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, 2016. [ PDF ]
  • M. Dymczyk, S. Lynen, T. Cieslewski, M. Bosse, R. Siegwart and P. Furgale, The gist of maps-summarizing experience for lifelong localization, Proc. IEEE International Conference on Robotics and Automation (ICRA), 2015, Seattle. [ ResearchGate ]
  • J. Auerbach, D. Aydin, A. Maesani, P. Kornatowski, T. Cieslewski, G. Heitz P. Fernando, I. Loschilov, L. Daler and D. Floreano, Robogen: Robot generation through artificial evolution, Artificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems. [ PDF ]