IMITATION LEARNING CENTRE
A NETWORK OF RESEARCHERS AT CIIRC CTU IN PRAGUE

IMITATION LEARNING CENTRE
A NETWORK OF RESEARCHERS AT CIIRC CTU IN PRAGUE

IMITATION LEARNING CENTRE
A NETWORK OF RESEARCHERS AT CIIRC CTU IN PRAGUE



The Imitation learning centre is a network of researchers at CIIRC (Czech Institute of Informatics, robotics, and cybernetics) CTU in Prague. Our goal is to research and promote methods for teaching new skills to robots and enabling them to work side by side with humans or other robots. We create multi-modal human-robot interfaces by integrating skill demonstrations, gestures, natural language instructions, and visualizations. We facilitate planning and scheduling, reinforcement learning, and advanced robot control to support the teaching process, improve the robot's performance, dexterity, and safety.

Our recent projects

iChores

The project description will soon be filled!
Boss

- Michal Vavrecka    

Starting
Mirracle
In most robotic applications, robot actions (such as pick, place, push, touch, mount, etc.) are programs created by expert roboticists. In the face of the uncertainties and flexibility need of the real world, these approaches often lack the required robustness. When we consider how humans solve dexterous manipulation tasks, we observe that many modalities (vision, proprioception, touch, etc.) are combined to form a robust reactive procedure for manipulating and navigating our surroundings. In this project, we will design a mapping algorithm that will enable us to create such a multimodal representation of actions that incorporates prior knowledge about the uncertainty of different domains, and show how this can be used to ease teaching robotic actions and generalize them to new embodiments (e.g. different robots, grippers, etc.) and environment. Finally, we will apply the results to learning by demonstration. Boss

- Karla Stepanova    

60%
Crow
One of the key goals of collaborative robotics is sharing a workspace between robot and a human operator. The shared workspace is used by both human and robot to complete a common task – either in parallel or as a part of active collaboration. In both cases, the robot should not require separation from the human operator by a protective barrier (e.g., a metal cage). An important aspect of a collaborative robot is the understanding of the scene (i.e. where is the human and what and where are the objects on the scene/workspace) and the ability to react to the immediate needs of the operator (e.g., need for a specific tool). Additionally, the robot should be able to predict the future steps in the production process. Boss

- Radoslav Skoviera    

Finished
6
Members
3
Projects Done
25+
Publications
150+
Meetings

Our team

Current team members:


Robotics-Researcher

Jan Kristof Behrens

jan.kristof.behrens@cvut.cz
AI-researcher

Gabriela Sejnova

gabriela.sejnova@cvut.cz
Wise-funny-guy

Michal Vavrecka

michal.vavrecka@cvut.cz
Tech-guy-fixesall

Radoslav Skoviera

radoslav.skoviera@cvut.cz
Some-Student

Petr Vanc

petr.vanc@cvut.cz

Cooperating researchers:


Professor

Robert Babuska

R.Babuska@tudelft.nl
guy-with-phd

Jiří Sedlář

jiri.sedlar@cvut.cz
AI-researcher

Josef Šivic

josef.sivic@cvut.cz

Students:


MScStudent

Marina Ionova

BScStudent

Richard Hajek

You?

Marek Majsner

You?

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