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
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
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
We are partners in a new European research project (CHIST-ERA call) IPALM – Interactive Perception-Action-Learning for Modelling Objects coordinated by Imperial College London. Matej Hoffmann is the PI for our part. The objective of the project is to develop methods for the automatic digitization of objects and their physical properties by exploratory manipulations. The methods …read more
The project RobotBodySchema (or “Robot self-calibration and safe physical human-robot interaction inspired by body representations in primate brains”), investigated by the team of Mgr. Matej Hoffmann, Ph.D., became a Partnering project of the Human Brain Project. Congratulations!
Enable-S3 is a large ECSEL-JU project called 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 in automatic driving.