Author Archives: Tomáš Svoboda

Recent publications

CRAS members were quite successful in publishing latest results.

IROS2017 papers:

  • Lukáš Chrpa, Jose Pinto, Tiago Sa Marques, Manuel A. Ribeiro, Joao Sousa: Mixed-Initiative Planning, Replanning and Execution: From Concept to Field Testing using AUV Fleets
  • Jan Faigl, Robert Pěnička: On Close Enough Orienteering Problem with Dubins Vehicle
  • Petr Čížek, Diar Masri, Jan Faigl: Foothold Placement Planning with a Hexapod Crawling Robot
  • Martin Pecka, Karel Zimmermann, Tomáš Svoboda. Fast Simulation of Vehicles with Non-deformable Tracks. arXiv PDF

We also got an oral presentation at ICCV2017, arguably the most prestigious computer vision conference: K. Zimmermann, T. Petricek, V. Salansky, T. Svoboda. Learning for Active 3D Mapping. arXiv PDF, DemoVideo.

We also have a few new journal publications:

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MBZIRC robotic challenge victory

Our team (also Uni Lincoln and UPenn involved) led by Martin Saska won the Mohamed Bin Zayed International Robotic Challenge (MBZIRC) – Challenge 3 that required a team of UAVs to collaborate to search, locate, track, pick and place a set of static and moving objects. The team also took 2nd place in Challenge 1 – landing on a moving platform and 3rd in the Grand Challenge – after joining University of Padua.

A more detailed story in Czech; with more photos. Czech TV news

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Center successful in securing new funding

CRAS members were very successful in securing new funding from the Czech Science Foundation. The following three-years projects start 01/2017:

  • K. Zimmermann. Robust motion planning and control on rough unstructured terrain.
  • M. Hoffmann. Robot self-calibration and safe physical human-robot interaction inspired by body representations in primate brains
  • M. Saska. Stabilization and control of teams of relatively-localized micro aerial vehicles in high obstacle density areas
  • M. Saska. Methods of Identification and Visualization of Tunnels for Flexible Ligands in Dynamic Proteins
  • T. Krajník: Spatio-temporal representations for lifelong mobile robot navigation

New EU project, Enable-S3

got funding. Enable-S3 is an acronym for European Initiative to Enable Validation for Highly Automated Safe and Secure Systems. Tomas Svoboda is the PI of the CTU part. We will closely collaborate with ValeoCZ working on boosting rare data into the learning and testing