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
CS Seminar series – 14:00, Friday, 12.02.2015, Room KN:E-2015
Tom Krajnik, University of Lincoln, UK
While robotic mapping of static environments has been widely studied, long-term mapping in non-stationary environments is still an open problem. In this talk, we present an approach for long-term representation of populated environments, where many of the observed changes are caused by humans performing their daily activities. We propose to model the environment’s dynamics by its frequency spectrum, as a combination of harmonic functions that correspond to periodic processes influencing the environment.
Such a representation not only allows representation of environment dynamics over arbitrary time-scales with constant memory requirements, but also prediction of future environment states and anomaly detection. The main advantage of the proposed approach is its universality – it can extend most of the environment models used in mobile robotics.
The proposed approach is applied to several environment representations created by a mobile robot autonomously patrolling indoor environments for several months. In particular, we apply the approach to occupancy grids, feature-based representations and topological maps and show that the approach can represent billions of observations with a few spectral components achieving compression rates up to 1:100000, significantly improves localization robustness in dynamic environments, allows for more efficient path planning, speeds-up tasks like object search or activity classification, and allows to perform 4D spatio-temporal exploration.
More details about FreMEn
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
A new project funded by Czech Science Foundations has been awarded to Jan Faigl a member of CRAS. This basic research project for 2016-2018 aims to investigate properties of efficient solutions for information gathering with non-holonomic vehicles in problems motivated by persitent monitoring and surveillance missions.
Tue 01.12.2015 11:00 KN:E-112, Abstract
Talk on Humanoid robots: platforms for modeling human cognition and versatile test-beds for robotics and machine learning research, Sep 17, 2015, KN:G-205. Matej will hopefully join CRAS in 2016 and complement our expertise by bringing his background on humanoid robotics and human cognition.
coorganized by Jan Faigl, http://robotics.fel.cvut.cz/demur15/, held in conjunction with IROS 2015