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 * 10th Anniversary
 * National Summit of Industry
 * AI Symposium
 * Open Day for Industry 4.0
 * AI Open Day


AI OPEN DAY


AI OPEN DAY:

TRUSTWORTHY AI – HUMANS VS. ALGORITHMS

Day 3: Thursday, 1 June 2023 | 14:00-18:20
CIIRC CTU – Building B, Testbed for Industry 4.0

Are you interested in Artificial Intelligence and want to learn more in an
interactive way? Would you like to explore and learn about concrete
demonstrations of some AI technologies? Join the afternoon program prepared in
collaboration with the European Networks of AI Centres of Excellence and do not
miss the second edition of the AI Open Day. If you want to see the atmosphere of
the first such event we organised in Brussels in 2022, visit the VISION website.






THE EVENT IS DESIGNED FOR ALL PEOPLE WITH AN INTEREST IN AI & NEW TECHNOLOGIES

 * General public, especially university and high-school students
 * Industrial companies, innovators and start-up community
 * Researchers – even at the early stage of their carrier
 * Policymakers


LIVE – REAL – INTERACTIVE

Join us in person for a half-day event. Learn more about Artificial Intelligence
that is around us or will be in a near future.

With live demonstrations prepared by AI research teams and a round-table with
some of the main actors of the European AI community, come to experience and
interact with experts on the pressing topic of “Trustworthy AI”.

 * Learn something new in a dynamic and entertaining way.
 * Join the insightful discussions with main personalities on AI.
 * Get to know what stays behind “AI made in Europe: Trustworthy, Human-centred
   & Ethical AI”

The European AI community represented by European networks of AI excellence
centres (NoEs) would like to invite all AI fans, with a specific focus on
students and innovation industry, to discover some AI applications and join in
an open discussion with AI experts.

The event is organised by the VISION project communication team led by CIIRC CTU
in close collaboration with four NoEs that have been working on aspects of
trustworthy AI funded under H2020-ICT-48-2020 call since 2021 and another two
new NoEs since 2022:

 * AI4Media
 * ELISE
 * HumanE-AI-Net
 * TAILOR

 * ELSA
 * euROBIN


GALLERY


PROGRAM

14:00 – 14:30 Arrival of participants, registration

--------------------------------------------------------------------------------

14:30 – 15:00

OPENING PRESENTATIONS

European AI Ecosystem

15:00 – 16:00

INTERACTIVE DEMONSTRATORS

Walk in groups through the different stations of our diverse tour and discuss
aspects of AI with young researchers from all over Europe who will present their
solutions and demonstrations.

16:00 – 17:00

ROUNDTABLE DISCUSSION

This part of the program will be live-streamed.


SLI.DO

Ask your questions and discuss with the panellists!

#AIOPENDAY



--------------------------------------------------------------------------------

17:00 – 18:20

REFRESHMENTS AND NETWORKING


LIVE STREAMING




SPEAKERS

Alžběta Solarczyk Krausová (Moderator)
Institute of State and Law of the Czech Academy of Sciences (Czech Republic)

Yiannis Kompatsiaris
CERTH-ITI (Greece)
AI4media

Roman Barták
Charles University (Czech Republic)
TAILOR

Jr. Prof. Dr. Sven Mayer
LMU Munich
HumanE-AI-Net



Mario Fritz
CISPA Helmholtz Center
(Germany)
ELSA

Josef Šivic
CIIRC CTU
(Czech Republic)
ELISE

Holger Hoos
CLAIRE
RWTH Aachen University
(Germany)
VISION






SELECTED DEMONSTRATORS

COMPUTER VISION AND MACHINE PERCEPTION

Showcase of intelligent robotic systems that autonomously learn to perform
complex tasks from instructional videos. We will demonstrate how to (i) teach a
robot to perform dynamic manipulation of a tool (shovel, hammer, etc.) based on
the YouTube video of a human manipulating the same tool category and (ii) how to
use a human demonstration to help the planner to solve multi-steps
task-and-motion planning problems in complex environments.

PICK-AND-PLACE ENRICHED WITH 3D RECONSTRUCTION OF OBJECTS

The application of computer vision provides the information to enable the robust
picking of objects using an inexpensive RGB camera. The Pick & Place robot
processes data through cameras to detect paper packages of Lego bricks. It
autonomously detects the exact location in 3D space and plans the robot’s
trajectory. Based on the classification, it selects packages of different sizes
and sorts them into boxes. The typical industry uses expensive 3D vision systems
and encoders to get an understanding of the surroundings. The proposed solution
uses just the RGB image leveraging the vision technique to calibrate the image
space to real-world space by homographic transformation using distinct markers.
When the conveyor belt moves, the encoder attached to it provides translation
and speed information which is needed to pick the object further along with the
moving conveyor belt with time. Deep learning algorithm is used to detect,
classify and locate the object in images which are further translated along a
moving conveyor using calibrated space and speed/translation data. The state
machine handles different instances of detected objects in the FIFO fashion and
prepares the trajectory for pick and place position with respect to time.

AI FOR SOCIAL MEDIA AND AGAINST DESINFORMATION

The demonstration will present ΑΙ-based tools and services used by journalists
and fact-checking experts for digital content verification and disinformation
detection, integrated into the Truly Media platform (a web-based platform for
collaborative verification).

DELTA ROBOT IN 5G ENVIRONMENT

Delta robot is an example of a multi-axis positioning system with synchronised
axes of motion. All axes are positionally controlled with feedback from absolute
multi-turn encoders, while the interpolation of the robot endpoint position
takes place in the control PLC. This configuration provides full control over
the processes performed by the robot, whether they relate to inverse kinematics,
inverse robot dynamics or the ability to run the robot simulation model, the
so-called digital twin, directly in the PLC. It is thus possible to detect any
deviations from the expected behaviour using machine learning algorithms, or
“just” collect data on the operation and subject it to a more thorough
subsequent analysis. The robot is also equipped with a handle for so-called
manual guidance, thanks to which the operator can demonstrate the desired
movements to the robot in the learning mode by guiding it with a hand
controller, the robot thus learns the trajectories to be performed during normal
operations.

Through the campus 5G SA network, the robot connects to the application server
(edge server) and thus can use its high computing power for applications
deploying neural networks, computer vision and other functionalities.

Partners: T-Mobile, Siemens

STORYBOARDER

A tool for the automatic generation of textual stories with accompanying images,
sounds and videos.

StoryBoarder binds together text generation (GPT), image generation
(StableDiffusion) and text-to-speech (Coqui) models to provide a tool for
content creators to quickly generate stories. The creators have full control
over the parameters of the individual tools, with the StoryBoarder binding the
tools together to be easy to use while providing useful default settings and
hints. The generated videos can then be directly streamed to video streaming
servers (Twitch or YouTube). 

ROBOT PLAYING CHECKERS

Test your knowledge in a game like checkers against a robot that is programmed
to predict the state of the gameboard for up to 9 moves ahead. You can
experience the interaction with an industrial robot and compare your strength in
checkers with the algorithms of artificial intelligence by choosing between
three difficulty levels.

This robotic cell demonstrates how Artificial Intelligence, Computer Vision and
collaborative robotics can be combined to develop an application of a
Human-Robot Collaboration. 

It also shows that modern design approaches of industrial robots allow them to
safely interact with humans, and thus can be used for teaching and education as
well. The task of creating a collaborative robotic workplace for playing a game
includes adjusting the input signals from the outside world using available
devices, such as a camera, a touch screen, and sensors of the robot itself.
Furthermore, it is necessary to consider the psychological perception of the
game process by a human. When competing with a supposedly stronger robotic
opponent, one would expect fast decision-making, conciseness of movements, and
the impossibility of deception. Therefore, an implementation of the game
algorithm should be robust enough to take little time while calculating an
optimal move and complying with defined game rules.

SUDOKU ASSISTANT – AN AI-POWERED APP TO HELP SOLVE PEN-AND-PAPER SUDOKU

The Sudoku Assistant is an AI assistant that can interpret, solve and explain
pen-and-paper Sudokus scanned with a smartphone. It uses techniques from both
machine learning and constraint programming, but goes one step further: it
employs a new way of integrating digit recognition and reasoning more deeply,
allowing it to solve significantly more scanned Sudokus correctly than previous
approaches were able to.
Furthermore, it isn’t limited to merely solving Sudokus: through the use of our
state-of-the-art research on step-wise explanations to constraint satisfaction
problems, it is able to guide the user through the solving process by giving
small hints. This ensures that the AI system doesn’t ruin the fun by doing the
solving for you, but is able to assist you when you are stuck. The Sudoku
Assistant hence demonstrates three concepts that are becoming increasingly
important in AI research: the integration of learning and reasoning, explainable
AI and human-centred AI. And although the assistant is focused on Sudoku, the
underlying techniques are equally applicable to other constraint-solving
problems like timetabling, scheduling and vehicle routing.

COLLABORATIVE WORKPLACE OF THE FUTURE – HUMAN-ROBOT COLLABORATION IN ASSEMBLY

Collaborative robotic workspace where human and robot are supposed to solve
together simple assembly tasks, while robot is able to react to the immediate
needs of the operator. Several cameras observe the workspace to detect objects
and human motions, the human is equipped by a microphone to instruct the robot,
and graphical tablet provides feedback about the current state on the workplace.
In the first scenario, robot serves to the human as a helper and is finding and
fetching an object based on a command (e.g., pass me the hammer, tidy up the
table). Human and robot engage in a dialogue to resolve ambiguities in the
perception. In the second scenario, robot is observing human performing a task
and acts on it by predicting the following steps and helping the human operator
accordingly (e.g., the robot recognizes that the human is assembling a car and
next part is a wheel, so it fetches and prepares it for the operator).

Technology partner: Factorio Solutions

ROBOTS YOU CAN TRUST

Charles University (a TAILOR partner), in cooperation with CIIRC CTU, will
demonstrate technology for fully automated planning of the movement of mobile
robots in a shared environment such as a warehouse. The presented planning and
execution algorithms guarantee that robots do not collide and reach their
destinations as soon as possible. We will use real robots to showcase the
technology.


CONTACT PERSON



EVA DOLEŽALOVÁ

eva.dolezalova@cvut.cz


REGISTER FOR FREE

Due to the limited capacity of the room, we would like to ask you to register
for the event. If you cannot come to Prague in person, you can – at least for
the roundtable discussion – join us online as well. Register and we will keep
you informed.

Register


DO NOT MISS THE PROGRAM OF INDUSTRY-AI DAYS 2023

CIIRC CTU 10TH ANNIVERSARY

30 May 2023 | 11:00-13:00

NATIONAL SUMMIT OF INDUSTRY

30 May 2023 | 13:00-17:30

AI SYMPOSIUM

31 May 2023 | 9:00-17:20

OPEN DAY FOR INDUSTRY 4.0

31 May 2023 | 9:00-14:00

ORGANISER



SUPPORTING PROJECTS





EVENTS

 * CIIRC CTU 10th Anniversary
 * National Summit of Industry
 * AI Symposium
 * Open Day for Industry 4.0
 * AI Open Day


REGISTER

Register


CIIRC CTU

Czech Institute of Informatics, Robotics, and Cybernetics
Czech Technical University in Prague
Jugoslávských partyzánů 1580/3 160 00 Prague Czech Republic