VRAS – Vision for Robotics and Autonomous Systems

Vision for Robotics and Autonomous Systems (VRAS)

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We are interested in machine learning for robot perception. We research algorithms that map RGB, depth, Lidar, and thermal data onto robot behavior. We work with outdoor tracked robots, humanoid robots and also collaborate with automotive – autonomous cars.

We are always looking for strongly motivated Ph.D. students as well as undergraduate students. If you are interested in what we are doing and want to join us, send us your resume to Tomas Svoboda. Currently, we also do have an opening for a pos-doc position.

The group is also a part of Center for Machine Perception, CMP, and involved in Center for robotics and autonomous systems, CRAS. Humanoid and cognitive robotics group also belongs to us.

Group related news, demos.



VRAS YouTube channel

http://cyber.felk.cvut.cz/vras

Group members:

NameTeamRank Phone Office email position
Agishev Ruslan MSc. VRAS Researcher +420 22435 7391 E225B 08
Ing. Azayev Teymur VRAS Researcher and Internal PhD +420 22435 5757 E227 09
Burdová Dominika VRAS External 20
Ing. Cvrček Vojtěch VRAS Researcher and External PhD +420 22435 5732 G103 10
Ing. Čech Josef VRAS Researcher and Internal PhD +420 22435 5757 E227 09
Gama Filipe VRAS Researcher and Internal PhD +420 22435 7609 E209 09
Ing. Gebrehiwot Awet Haileslassie VRAS Researcher and Internal PhD +420 22435 5757 E227 09
Ing. Himmel Bedřich VRAS Researcher +420 22435 7391
+420 602252337
E225B 08
Mgr. Hoffmann Matěj Ph.D. VRAS Assistant professor +420 22435 7387 E211 07
Khoury Jason MSc. VRAS Research Fellow +420 22435 7609 E209 11
Bc. Kružliak Andrej VRAS External 20
Lehmann Hagen Ph.D. VRAS External 20
Marcel Valentin Ph.D. VRAS Researcher +420 22435 7576 E220 08
Mgr. Moravec Jaroslav VRAS Researcher and Internal PhD +420 22435 7344 G103 09
Mrosková Tereza VRAS External 20
Bc. Patni Shubhan Parag VRAS Researcher and Internal PhD +420 22435 7583 E209 09
Mgr. Pecka Martin Ph.D. VRAS Researcher +420 22435 7269 E225B 08
Ing. Petříček Tomáš Ph.D. VRAS Researcher +420 22435 7391 E225B 08
Bc. Pliska Michal VRAS External 20
Ing. Reinštein Michal Ph.D. VRAS Assistant professor E226 07
Bc. Rojík Adam VRAS External 20
Bc. Rozlivek Jakub VRAS Research Fellow E210 11
Bc. Rustler Lukáš VRAS Research Fellow E210 11
Ing. Straka Zdeněk VRAS Researcher and External PhD +420 22435 7583 E209 10
Prof. Ing. Svoboda Tomáš Ph.D. VRAS Full Professor +420 22435 7448 E226 02
Ing. Šalanský Vojtěch VRAS Researcher and Internal PhD +420 22435 5700 E227 09
Doc. Ing. Šára Radim Dr. Tech. VRAS Associate professor +420 22435 7203 G103A 06
Ing. Mgr. Švarný Petr VRAS Researcher and Internal PhD +420 22435 7583 E209 09
Tcaci Popescu Sergiu Ph.D. VRAS Researcher +420 22435 7576 E220 08
Ing. Vacek Patrik VRAS Researcher and Internal PhD +420 22435 5700 E227 09
Doc. Ing. Zimmermann Karel Ph.D. VRAS Associate professor +420 22435 5733 E226 06

Our robots in CT24 studio

All you wanted to know about robotics at our faculty in 15 minutes. https://www.ceskatelevize.cz/porady/10101491767-studio-ct24/221411058031021/ starts around 4:30

SPOT appeared on CT 😀 in the new documentary series Futuro

In the new documentary series of Czech Television for children, Professor Tomas Svoboda introduced our SPOT. The report starts at 6:45 min

The CTU-CRAS-NORLAB team in Kentucky took silver in the virtual competition and finished sixth in the real robot competition

The results of the DARPA SubT Challenge finals were announced on Friday 24 September at a ceremony in Louisville, Kentucky, United States. The CTU-CRAS-NORLAB team finished second among the top ten robotics teams in the world in the viral competition, earning a $500,000 prize. “We were mainly focused on the main competition with real robots, …read more

Czech Television reports on the DARPA SubT Challenge final

The final round of the DARPA Subterranean Challenge are held on 24 September 2021 at the MegaCavern underground complex in Kentucky, USA. Check out the report that begins at 13:25 min (premiere on 20. 9. 2021)

Let’s cheer together every day!

The hot days of DARPA Subterranean Challenge have started, let’s cheer together every day!

“Robot Olympics” begins next week in Kentucky

The final round of the DARPA Subterranean Challenge will take place from 21 to 24 September 2021 at the MegaCavern underground complex in Kentucky, USA. Our team travelled to the United States two weeks ago and has been working hard on preparations for the final round. “We are still tweaking and fixing things,” says Prof. …read more

The line-up of humanoid robots has been expanded by iCub

“This is the first robot that has the sense of touch on the whole body,” says Dr. Matěj Hoffmann, Head of the Humanoid robotics group. The iCub importantly extends the existing portfolio of humanoid robots available to the group (two Nao and one Pepper robot), as it is most anthropomorphic – most similar to humans. …read more

Matej Hoffmann and Filipe Gama on IEEE Spectrum

Matej Hoffmann and Filipe Gama presents their research Goal-directed tactile exploration for body model learning through self-touch on a humanoid robot on IEEE Spectrum Watch the video on Youtube

Four-legged SPOT back on Seznam Zprávy

Read another post about SPOT robot on Seznam-Zpravy from 19. 8. 2021

Newspaper Law – supplement Weekend: Robots of Czech scientists compete for millions

The best robots SPOT and DAISY trained rescue work in Bull Rock. In September they want to conquer America

Read the article and listen to the report with interviews with members of the CTU-CRAS-NORLAB teams from 29 June 2021 on ČRo Plus (radio.cz) Czech Radio Plus also broadcast live from the Bull Rock Cave on June 25 – beginning at 15:51:32, link https://program.rozhlas.cz/zaznamy/portal#/plus/2021-06-25 Watch the video on TV Adamov

Drones contrary to bats. How robots trained in the Bull Rock Cave

From 21 to 25 June 2021, the cave complex Býčí skála in the Moravian Karst hosted the preparation of our robotics team for the final round of the DARPA Subterranean Challenge, which will take place from 21 to 24 September 2021 in the United States of America. The purpose of the competition, which is a …read more

Teams of our employees and students best in this year’s Bike to Work Challenge

Employees and students of our department participated under the company profile “CTU in Prague” in this year’s national challenge, which took place from 1 to 31 May and motivated to travel by bike, scooter, on foot or at a trot. Teams of two to five employees and students recorded the kilometres they cycled, ran or …read more

Robots will train in the cave

Next week, a four-legged robot SPOT will step into the Bull Rock in the Moravian Karst for the first time, together with other robotic systems and drones from the team of roboticists from the Faculty of Electrical Engineering (FEL) of CTU. In the cave complex, which serves as one of the largest wintering grounds for …read more

Robot SPOT, doc. Zimmermann and Ing. Rouček appeared on Czech Television News

Children were intrigued by an Instagram post about SPOT the robot, so Czech Television filmed a report for Zprávičky 😀 Watch from 0:53

CT 24 set out to walk the four-legged robot SPOT

He overcomes obstacles in difficult terrain, climbs stairs, can wade through mud and water. The four-legged robot SPOT is now available to cyberneticists from the CTU. They plan to improve the American-made device and use it in the finals of a prestigious robotics competition. The Czech team was able to afford the robot thanks to …read more

SPOT on Czech TV

In today’s Studio 6 on CT 1, representatives of the DARPA team Prof. Tomáš Svoboda and Ing. Tomáš Rouček. You can watch the report here, starts at 1:26:30

Capek would be surprised – A robot from CTU will take part in a competition for millions of dollars

Forbes magazine published comprehensively and with great interest about our SPOT robot and participation in the DARPA Subterranean Challenge with this headline. The whole journalist article you can read here Photo Petr Neugebauer, FEE CTU

The four-legged SPOT will fortify the DARPA team

Approximately twenty-member team of robotics CTU-CRAS-NORLAB (Czech Technical University – Center for Robotics and Autonomous Systems – Northern Robotics Laboratory) will set off in the fall to the underground complex MegaCavern in Kentucky, USA to defend third place in the finals of the prestigious DARPA Subterranean (SubT) Challenge, which will take place from 21 to …read more

Robot Spot in media

About the success of our robotics under the leadership of prof. Tomas Svoboda and plans with Spot robot informed the server E 15 , E 15 lI, Seznam Zprávy, feedit.cz, Lupa.cz, Tyden.cz, Parlamentnilisty.cz, czpravy.cz, Barrandov.tv, ČT24, casopisczechindustry.cz, svetchytre.cz, Právo – Trhy a ekonomika, Technickytydenik.cz, vtmzive.cz, nejbussiness.cz, czechcrunch.cz, strojirenstvi.cz

Tomas Svoboda took over the diploma of professorship from the rector doc. Petracek

Prof. Ing. Tomáš Svoboda, Ph.D. took over the diploma of professorship from the rector doc. Vojtěch Petráček. Congratulations! The handover act is on the TV9P record: https://youtu.be/J7u9SHDxLkk?t=304.

(Česky) Humanoidi s umělou kůží na Týdnu mozku

Martin Pecka defended his PhD thesis

Martin Pecka successfully defended his Ph.D. thesis entitled  Safe Autonomous Reinforcement Learning Supervisor: prof. Ing. Tomáš Svoboda, Ph.D. Supervisor-specialist: doc. Ing. Karel Zimmermann, Ph.D. Congratulations!

Profesor Tomáš Svoboda o robotice

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Call for Humanoids group PostDoc position

The group of Humanoid and Cognitive Robotics coordinated by Dr Matej Hoffmann opens a PostDoc position in the humanoid, cognitive, neuro-, and collaborative robotics research. The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research …read more

Call for Humanoids group PhD position

The group of Humanoid and Cognitive Robotics coordinated by Dr Matej Hoffmann opens a fully funded PhD position in the humanoid, cognitive, neuro-, and collaborative robotics research. The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in …read more

(Česky) Robot 100 aneb Sto rozumů

(Česky) Naše drony a pozemní roboty budou zkoumat jeskynní komplex Býčí skála

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Call for Humanoids group PostDoc position

The group of Humanoid and Cognitive Robotics coordinated by Dr Matej Hoffmann opens a PostDoc position in the humanoid, cognitive, neuro-, and collaborative robotics research. The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research …read more

(Česky) Členové týmů MRS a VRAS naší katedry připravili spolu s CIIRC ČVUT pipetovací roboty pro testování vzorků na Covid-19

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(Česky) Matěj Hoffmann a Petr Švarný v podcastu Vše o průmyslu

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(Česky) Tým CTU-CRAS získal ceny v soutěži AI Awards za úspěch v mezinárodní robotické soutěži

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Our Roboticists won at the DARPA Subterranean Challenge Urban Circuit among self-funded teams and scored 3rd overall

In the second half of February 2020, ten robotic teams gathered at the nearly-built but unfinished nuclear power plant near Elma, Washington. The robots were sent into the underground maze of the huge concrete-steel in a quest to find and locate predetermined 20 artifacts. Researchers, graduate and undergraduate students of Departments of Cybernetics and Computer …read more

(Česky) DARPA 2020

Sorry, this entry is only available in Česky.

Interview with Matej Hoffmann in Control Engineering Czech Republic

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Call for Humanoids group PhD position

The group of Humanoid and Cognitive Robotics coordinated by Dr Matej Hoffmann opens a PhD position in the humanoid, cognitive, neuro-, and collaborative robotics research. The topics are in the context of the newly starting 5-year project entitled “Whole-body awareness for safe and natural interaction: from brains to collaborative robots” for excellence in fundamental research …read more

Call for Valeo.AI-sponsored PhD student/researcher

We open a 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. The position is sponsored by Valeo.AI. WE SEEK CANDIDATES: who are excellent, self-motivated, and willing …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

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

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

Karel Zimmermann received Dean’s Award for Teaching

Doc. Ing. Karel Zimmermann, Ph.D., received the Dean’s Award for teaching in the academic year 2018/19 for the course Robotics Vision. Teachers are awarded for teaching results based on the recommendation of the Dean’s Committee. The committee decision is based on the results of the students´ verbal survey, suggestions of the heads of departments, and …read more

CTU-CRAS from the Department of Cybernetics Won the Darpa Subterranean Challenge Tunnel Circuit Among Non-Sponsored Teams and Took the Overall 3rd Place

The DARPA Subterranean Challenge Tunnel Circuit took place in Pittsburgh, USA on 15-22 August. A team of CTU-CRAS scientists and students from the Department of Cybernetics and Computer Department of the Faculty of Electrical Engineering of the Czech Technical University in Prague demonstrated a multirobotic system for searching the areas affected by the disaster. CTU-CRAS …read more

Tracked vehicle simulation model for Gazebo

The VRAS group has successfully helped the global open-source robotics community by implementing the first plausible simulation model of tracked vehicles. The model has just been made available to everyone as part of the Gazebo simulator Among others, it will help the CRAS-CTU team in the global DARPA SubT challenge where a team of robots …read more

Dean’s Award for the Dissertation thesis was given to Ing. Vladimir Kubelka, Ph.D.

Dean’s Award for the Dissertation thesis was given to

Ing. Vladimír Kubelka defended his Ph.D. thesis

Ing. Vladimír Kubelka successfully defended his Ph.D. thesis entitled Improving perception and locomotion capabilities of mobile robots in urban search and rescue missions (supervisor: doc. Ing. Tomáš Svoboda, Ph.D., supervisor specialist: Ing. Michal Reinštein, Ph.D.). Congratulations!

Interactive Perception-Action-Learning for Modelling Objects

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

BODIS – workshop at IROS2018

Matěj Hoffmann is co-organizing a workshop at IEEE/RSJ International Conference on Intelligent Robots and Systems IROS2018. BODIS: The utility of body, interaction and self learning in robotics.
iCub with associated hand-frame

Human-robot interaction at HRI 2018

Work in collaboration with IIT Genoa and Yale University on Compact real-time avoidance on a humanoid robot for human-robot interaction appeared at the HRI 2018 Conference held in Chicago. [pdf @ arxiv | youtube video]

The little android with a sense of touch

A typical feature of mammals lies in their ability to experience sensations, something that robots are beginning to imitate. With the help of artificial skins and algorithms, our researchers have managed to make a small humanoid robot aware of human contact and even notice if someone is invading his ‘living’ space. The little android with …read more

Ing. Tomáš Petříček defended his Ph.D. thesis

Ing. Tomáš Petříček successfully defended his Ph.D. thesis entitled Coupled Learning and Planning for Active 3D Mapping (supervisor: doc. Ing. Tomáš Svoboda, Ph.D.). Congratulations!

Kuka Innovation Award 2018

Matěj Hoffmann from the group Vision for Robotics Autonomous Systems (VRAS) was a member of the team who won the Kuka Innovation Award 2018, see the video.

The project RobotBodySchema has become a Partnering project of the Human Brain Project

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!

ICCV 2017 talk of Karel Zimmermann

Karel Zimmermann presents at ICCV 2017 paper K. Zimmermann, T. Petricek, V. Salansky, T. Svoboda. Learning for Active 3D Mapping.

Ing. Kubelka presented a rescue mobile robot Charlie in Czech TV

Ing. Vladimir Kubelka, a PhD. student of Artificial inteligence and biocybernetics, presented a rescue mobile robot Charlie, which is involved in project TRADR, and invited the viewers to the “Night of scientists“(in czech only) in Studio 6, a Czech TV morning show. Many thanks for the representation of our faculty!

ENNS Best Paper Award

Zdenek Straka and Matej Hoffmann were awarded ENNS Best Paper Award at 26th International Conference on Artificial Neural Networks (ICANN17) for their paper Learning a Peripersonal Space Representation as a Visual-Tactile Prediction Task.

BMVC 2017 best science paper honourable mention for A. Mukundan, G. Tolias, O. Chum

Arun Mukundan, Giorgos Tolias and Ondrej Chum received the best science paper honourable mention at the British Machine Vision Conference (BMVC) 2017 for their article Multiple-kernel Local-patch Descriptor.

Karel Zimmermann has successfully defended his habilitation thesis

Karel Zimmermann has successfully defended his habilitation thesis Safe Adaptive Traversability with Incomplete Data. Congratulation!

Tomáš Svoboda guest on CT24 on the topic: USA: Shared Autonomous Transport in 13 Years?

Assoc. Prof. Tomáš Svoboda (Vision for Robotics and Autonomous Systems) was a guest on CT24 speaking on the topic: USA: Shared Autonomous Transport in 13 Years? (the interview in Czech language only starts at about 0:15:56).

Humanoid robots learn to sense their body

A 4-page cover story about humanoid robotics in Respekt (a major Czech weekly journal), 16/2017. Matej Hoffmann and Zdenek Straka interviewed and photographed with robots. More robots mentioned in the electronic version of the story. The printed version also available at ihned.cz.

Rescue robot goes to Italy

A rescue ground robot is going to Italy after earthquake. Real deployment event featured in Czech TV main news. Department is collaborating with CIIRC within TRADR project.

New EU project, Enable-S3

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.

Tomáš Svoboda in DVTV about Autonomous Vehicles

Tomáš Svoboda discussed on DVTV with Martin Veselovský the future of transportation systems and autonomous vehicles (in Czech). Many thanks for successful representation of our department!

Learning for Active 3D Mapping

Paper of authors K. Zimmermann, T. Petricek, V. Salansky, and T. Svoboda was accepted as oral presentation at ICCV 2017! We propose an active 3D mapping method for depth sensors, which allow individual control of depth-measuring rays, such as the newly emerging solid-state lidars. The method simultaneously (i) learns to reconstruct a dense 3D occupancy …read more

Non-rigid object detection with local interleaved sequential alignment

The successively evaluated features used in a sliding window detection process to decide about object presence/absence also contain knowledge about object deformation. We exploit these detection features to estimate the object deformation. Estimated deformation is then immediately applied to not yet evaluated features to align them with the observed image data. In our approach, the …read more

Data fusion for localization and mapping

We design and evaluate a data fusion system for localization of a mobile skid-steer robot intended for USAR missions. We exploit a rich sensor suite including both proprioceptive (inertial measurement unit and tracks odometry) and exteroceptive sensors (omnidirectional camera and rotating laser rangefinder). To cope with the specificities of each sensing modality (such as significantly …read more

Adaptive traversability

Adaptive traversability we understand by means of autonomous motion control adapting the robot morphology—configuration of articulated parts and their compliance—to traverse unknown complex terrain with obstacles in an optimal way. The robot measures its state (like: orientation angles, flipper mode, …) and the terrain (digital elevation model). We learn the optimal policy from loosely annotated …read more
DP,BP,SP Antikolizní systém pro tramvaje, snímání vnějšího prostředí. Svoboda Tomáš
BP,SP Aplikace prediktivního kódování pro reprezentaci peripersonálního prostoru Straka Zdeněk
DP,BP,SP Deep neural networks for object detection in Google StreetView Reinštein Michal
DP,BP,SP Detekce klíčových bodů člověka Švarný Petr
DP,BP,SP Detekce schodů v 3D měřeních Zimmermann Karel
DP,BP,SP Efektivní průzkum povrchu těla s taktilními senzory u humanoidních robotů Hoffmann Matěj
DP,BP,SP Gamifikace a vylepšení interaktivního kiosku s multirobotickým SubT simulátorem Pecka Martin
DP,BP,SP Haptický průzkum a kategorizace předmětů pomocí robotických uchopovačů Hoffmann Matěj
DP,BP,SP Hluboká neuronová síť pro detekci objektů za ztížených snímacích podmínek Reinštein Michal
DP,BP,SP Interpretovatelnost modelů hlubokých neuronových sítí pro segmentaci obrazu Reinštein Michal
DP,BP,SP Jednotné zpracování dat z kamerových systémů Švarný Petr
DP,BP,SP Metody redukce dimenze pro dataset funkční mapy světa Reinštein Michal
DP,BP,SP Metody super-resolution pro zpracování satelitních snímků s využitím generativních adversiálních modelů Reinštein Michal
BP,SP Model spikové neurální sítě pro visuo-taktilní integraci Straka Zdeněk
DP,SP Porovnani neuronovych siti a algoritmu optimalniho rizeni pro stabilizace drony Azayev Teymur
DP,BP,SP Průzkum předmětů skrze robotickou manipulaci Hoffmann Matěj
BP,SP Příprava dat pro trénování dopředného modelu robota na nerovném terénu Zimmermann Karel
DP,BP,SP Příprava mračen 3D bodů pro hluboké učení Svoboda Tomáš
DP,BP,SP Rozpoznávání předmětů pomocí vidění a dotyku robotickými rukami Hoffmann Matěj
DP,BP,SP Seberozpoznání robota v zrcadle Hoffmann Matěj
DP,BP,SP Strojové učení pro robotickou exploraci Svoboda Tomáš
BP,SP Strojové učení pro robotickou exploraci Agishev Ruslan
DP,SP Uzavírání smyček v robotickém SLAMu Zimmermann Karel
DP,BP,SP Účení 3D detekce objektů z pohybových reprezentací v Lidaru pro autonomni rizeni Vacek Patrik
DP,BP,SP Vidění pro autnomní řízení vozidel Šára Radim
DP,BP,SP Vizuální vnímání pro interakci člověka s robotem Hoffmann Matěj
DP,BP,SP Vyhodnocení bezpečné vzdálenosti mezi člověkem a robotem Švarný Petr
BP,SP Vylepšení modelu chyb simulovaných senzorů a identifikace parametrů jejich reálných protějšků Pecka Martin
DP,BP,SP Vylepšení pohybových schopností robota Spot v simulátoru Pecka Martin
BP,SP Vytvoření úlohy posilovaného učení v prostředí PyBullet Zimmermann Karel
DP,BP,SP Využití umělé kůže na humanoidním robotu Nao v sociální interakci člověk-robot Lehmann Hagen
BP,SP Zábavná demonstrace multi-robotického systému Svoboda Tomáš
Maksym Shcherban: Efficient Exploration of Body Surface with Tactile Sensors on Humanoid Robots (PDF) Hoffmann Matěj 2021 KyR R
Jakub Lukeš: Learning the Musical Instrument Amplifier Model with Neural Networks (PDF) Vacek Patrik 2021 OI ICS
Lars Kahlert: Autonomous Robotic Exploration of Underground Environments (PDF) Petříček Tomáš 2021 KyR
Michaela Cihlářová: Comparison of State-of-the-Art Baselines for Reinforcement Learning (PDF) Zimmermann Karel 2021 KyR
Andrej Kružliak: Exploratory Action Selection to Learn Object Properties Through Robot Manipulation (PDF) Hoffmann Matěj 2021 KyR
Michal Pliska: Deformable Object Classification Through Robot Grasping (PDF) Hoffmann Matěj 2021 KyR
Šimon Pokorný: Ensemble Detection Models for LiDAR Point Clouds (PDF) Vacek Patrik 2021 KyR
Petr Šebek: Weakly Supervised Data Augmentation for LiDAR Based 3D Object Detection (PDF) Svoboda Tomáš 2021 KyR
Adam Rojík: Personal Spatial Zones in Human-Robot Interaction Scenarios (PDF) Hoffmann Matěj 2021 KyR
Jakub Paplhám: Convolutional Neural Networks with Local Context Masks (PDF) Petříček Tomáš 2020 KyR
Bohumila Potočná: Artificial Skin Calibration for a Humanoid Robot: Comparing or Combining “Self-Touch” and 3D Reconstruction from Images (PDF) Hoffmann Matěj 2020 KyR
Jan Švrčina: Online Adaptive Control Using Neural Networks (PDF) Azayev Teymur 2020 KyR
Pavel Stoudek: Extracting Material Properties of Objects from Haptic Exploration Using Multiple Robotic Grippers (PDF) Hoffmann Matěj 2020 KyR R
Adrián Pitoňák: Application of Predictive Coding for Visuo-Tactile Sensory Integration (PDF) Straka Zdeněk 2020 KyR
Michal Mareš: Exploratory Action Selection to Learn Object Properties from Haptic Exploration Using a Robot Hand (PDF) Hoffmann Matěj 2020 KyR
Jan Dočekal: Traversability Estimation from RGB Images and Height Map (PDF) Zimmermann Karel 2020 KyR
Varun Burde: Deep neural network for city mapping using Google Street View data (PDF) Reinštein Michal 2020 KyR KyR
Jiří Štěpanovský: Learning Peripersonal Space Representations Using Spiking Neural Networks (PDF) Hoffmann Matěj 2019 KyR
Maksym Shcherban: Efficient Self-exploration and Learning of Forward and Inverse Models on a Humanoid Robot with Artificial Skin (PDF) Hoffmann Matěj 2019 KyR
Josef Čech: Recognition of Road Traffic Participants in LiDAR Point Clouds (PDF) Šára Radim 2019 KyR
Jiří Zacha: Convolutional Neural Networks for Object Classification from LiDAR Data (PDF) Vacek Patrik 2019 KyR
Puciow František: Automatic self-calibration from self-observation and self-touch on a dual arm industrial manipulator (PDF) Hoffmann Matěj 2018 KyR KyR
Valentin Jacques: Deep reinforcement learning for autonomous off-road driving in simulation (PDF) Zimmermann Karel 2018 KyR KyR
Hobza Martin: 3D Semantic Segmentation of RGBD Data with Deep Convolutional Neural Networks (PDF) Zimmermann Karel 2018 KyR R
Jašek Otakar: Simulating Depth Measuring Sensors for Autonomous Learning and Benchmarking (PDF) Zimmermann Karel 2018 OI CV
Bouček Jan: Tracking vehicles across multiple non-overlapping fisheye cameras in a city environment (PDF) Reinštein Michal 2018 OI UI
Rozsypálek Zdeněk: Active 3D mapping using laser range finder with steerable measuring rays (PDF) Petříček Tomáš 2018 KyR SC
Hollmannová Dita: Simulating Realistic Local 3D Maps from Geometric Models (PDF) Svoboda Tomáš 2018 OI ICS
Račinský Matěj: 3D map estimation from a single RGB image (PDF) Zimmermann Karel 2018 OI UI
Sivák Filip: Deep Neural Networks for Classification of Product Images (PDF) Reinštein Michal 2018 OI CV
Azayev Teymur: Deep learning for autonomous control of robot´s flippers in simulation (PDF) Zimmermann Karel 2018 OI UI
Mareš Jakub: Safe Obstacle Traversal with Incomplete Data (PDF) Zimmermann Karel 2017 KyR R
Šalanský Vojtěch: Contact Terrain Exploration for Mobile Robot (PDF) Zimmermann Karel 2017 KyR R
Vakula Jan: Keypoint Localization and Matching in Difficult Scenes for Visual Odometry (PDF) Svoboda Tomáš 2017 KyR R
Chmel Jakub: SW and HW Integration of an IP PTZ Camera onto a Mobile Outdoor Robot (PDF) Svoboda Tomáš 2017 KyR R
Bednárová Naďa: Representation of Proprioceptive Inputs of the iCub Humanoid Robot Using Self-Organizing Maps (PDF) Hoffmann Matěj 2017 OI ICS
Azayev Teymur: Object Detection in High Resolution Satellite Images (PDF) Reinštein Michal 2017 KyR R
Dvořák Filip: Active Contour Model with Landmarks for Image Object Boundary Detection (PDF) Šára Radim 2017 KyR R
Kunc Vladimír: Deep neural network for satellite image classification using Open Street Maps (PDF) Reinštein Michal 2017 OI UI
Zlámal Vít: Virtual Bumper for Tracked Ground Robot from Depth Data (PDF) Svoboda Tomáš 2017 OI ICS
Hobza Martin: 3D Semantic Segmentation of RGBD Data with Deep Convolutional Neural Networks (PDF) Zimmermann Karel 2017 KyR R
Jirků Michal: Advanced localization methods for ground robots using WiFi signals. (PDF) Reinštein Michal 2017 KyR SC
Burian Martin: Haptic Terrain Exploration with Robotic Arm (PDF) Svoboda Tomáš 2017 OI CV
Těžký Jiří: Active Victim Detection with RGB-D-T Sensor (PDF) Zimmermann Karel 2016 KyR R
Jašek Otakar: Detecting Objects for Autonomous System Verification (PDF) Svoboda Tomáš 2016 OI ICS
Straka Zdeněk: Modeling multisensory integration for peripersonal space representation using machine learning (PDF) Hoffmann Matěj 2016 OI UI
Hrabalík Aleš: 3D Point Cloud Registration, Experimental Comparison and Fusing Range and Visual Data (PDF) Svoboda Tomáš 2014 OI ICS
Brabec Jan: Automated Camera Calibration from Laser Scanning Data in Natural Environments (PDF) Svoboda Tomáš 2014 OI ICS
Potoček Pavel: Probabilistic Approach to Landmark Management in Visual Odometry (PDF) Svoboda Tomáš 2014 KyR R
Nouza Tomáš: Safe Adaptive Traversability Learning for Mobile Robots (PDF) Reinštein Michal 2014 KyR R
Kubelka Vladimír: Data Fusion for a Mobile Exploratory Robot  Reinštein Michal 2013 KyR LKI
Derner Erik: Car Detection on a Mobile Robot by Fusing Visual and 3D Lidar Data  Svoboda Tomáš 2012 OI ICS
Nouza Tomáš: Localization of Mobile Robots for Exploration Using Cloud Services  Reinštein Michal 2012 KyR R
Sedláček Filip: Free-form Object Detection and Measurement by Using LIDAR and Omnidirectional Camera  Svoboda Tomáš 2012 KyR R
Hašek Štěpán: Robust Detection of a Coded Pattern (PDF) Šára Radim 2012 OI CV
Zuzánek Petr: Detection of Nearly Linear Objects (PDF) Zimmermann Karel 2012 OI CV
Kváča Jan: High-resolution Object Detection (PDF) Zimmermann Karel 2012 OI CV
Jirák Luboš: Automatic Evaluation of Computer Vision Algorithms (PDF) Zimmermann Karel 2011 KyR R
Kubelka Vladimír: Vibration Suppression in Inertial Sensors Signals  Reinštein Michal 2011 EI CM
Burian Michal: Real-time Signal Processing Regarding Inertial Sensors  Reinštein Michal 2011 EI
Šimánek Jakub: Analysis of Suboptimal Models for INS/GPS Navigation Algorithms  Reinštein Michal 2011 EI
Responsible person: Tomáš Svoboda