Call for Valeo.AI-sponsored PhD student/researcher

We offer PhD position in the university environment while being partially supervised by the top-tier researcher from Valeo.AI research group. Show your research to be meaningful by running your codes on the real self-driving car to improve human safety. Position is sponsored by Valeo.AI. WE SEEK CANDIDATES: – who are excellent, self-motivated, and willing to …read more

Call for Vision for Robotics and Autonomous Systems group´s Positions

Vision for Robotics and Autonomous Systems group (https://cyber.felk.cvut.cz/vras/) seeks one excellent PhD student and one PostDoc on the following fully-funded positions: DARPA Subterranenan Challenge: Cutting-edge research in the autonomous mapping (SLAM) for mobile robotics. We are expanding the team that just won the DARPA SubT challenge to help us to help us to win again! …read more

Elizaveta Saifutdinova defended her PhD Thesis

Elizaveta Saifutdinova successfully defended her PhD thesis entitled Automatic Sleep EEG Pattern Detection Supervisor: doc. Ing. Lenka Lhotská, CSc. Supervisor-Specialist: Ing. Václav Gerla, Ph.D. Congratulations!

NEW GACR EXPRO Project

NEW GACR EXPRO Project
Matej Hoffmann has been awarded the “GAČR EXPRO” project for excellence in fundamental research from the Czech Science Foundation (https://gacr.cz/grantove-projekty-excelence-v-zakladnim-vyzkumu-expro/) for his proposal entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots”. The grant will support him and his group for 5 years (2020-2024). As robots are leaving safety fences and …read more

Ing. Filip Ježek defended his PhD Thesis

Ing. Filip Ježek successfully defended his PhD thesis entitled Model of Circulatory, Blood Gases Transport and Acid-Base for Medical Simulators and Intensive Care Clinical AID System Supervisor: doc. Ing. Lenka Lhotská, CSc. Supervisor-Specialist: Doc. MUDr. Jiří Kofránek, CSc. Congratulations!

AERIAL-CORE – new H2020 project

AERIAL-CORE - new H2020 project
Martin Saska received a new European H2020 grant! He serves as the PI of CTU part of “AERIAL-CORE: AERIAL COgnitive integrated multi-task Robotic system with Extended operation range and safety” coordinated by University of Sevilla. The main objective of AERIAL-CORE is the development of core technology modules and an integrated aerial cognitive robotic system that …read more

Generalized Image Retrieval and Relation Discovery – a new ERC.cz Grant

Generalized Image Retrieval and Relation Discovery - a new ERC.cz Grant
Ondrej Chum received ERC.cz Grant Generalized Image Retrieval and Relation Discovery In the project, will be generalized the retrieval of related images beyond search of visually similar images. Team will study various definitions of relatedness, investigate algorithms for efficient search, and derive novel representations that support search and discovery of related images. Applications range from …read more

D.Rozumnyi and Prof. J.Matas awarded Honorable Mention at GCPR

D.Rozumnyi and Prof. J.Matas awarded Honorable Mention at GCPR
D.Rozumnyi and prof. J.Matas were awarded the Honorable Mention for Outstanding Contribution at “German Conference on Pattern Recognition (GCPR)” for the publication R. Rozumnyi, J. Kotera, F. Sroubek J. Matas: Non-Causal Tracking by Deblatting. Gratulujeme!

Success of CTU-CRAS’ robots in US in Main evening news, Czech TV

Success of CTU-CRAS' robots in US in Main evening news, Czech TV
It doesn’t happen every day that you appear in the main evening broadcasting at Czech TV (Česká televize). It does for example when you win DARPA SubT Challenge among self-funded teams. Amazing success of ČVUT FEL team CTU-CRAS formed by our teams Multi-robot Systems (Martin Saska) and Vision for Robotics and Autonomous Systems (Tomáš Svoboda) and colleagues …read more

Tomas Jenicek and Ondra Chum in MIT Technology Review

Tomas Jenicek and Ondra Chum in MIT Technology Review
The work of Tomas Jenicek and Ondra Chum Linking Art trhought Human Poses is discussed in MIT Technology Review article Machine vision can spot unknown links between classic artworks. Congratulations!
Responsible person: Helena Houšková