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The EASE Fall School offers an opportunity to delve into the exciting field of cognition-enabled everyday activity robotics. Designed to provide insight into Everyday Activity Science and Engineering, our Fall School allows doctoral students to explore AI, robotics, and the complex field of robot manipulations. Through lectures and hands-on courses, participants can exchange ideas and perspectives with invited speakers and experts from the collaborative research center EASE. This year, the event is supported by the euROBIN project and will be hosted at both the University of Bremen, Germany, and University of Michigan, USA.

We are excited to extend our heartfelt welcome to our friends and colleagues from the euROBIN project. Your partnership is an invaluable asset as we push forward in the field of robotics. We look forward to achieve greater knowledge and fuel future innovations with our combined efforts. Thank you for being an integral part of this journey toward a brighter future.

Invited LecturersHands-on Courses
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Venues


This year, the EASE Fall School is breaking new ground by hosting a collocated event simultaneously in the United States and Germany. With venues at both the University of Bremen in Germany and University of Michigan in the US, the event aims to foster a truly international exchange of knowledge and ideas. This dual-location format presents a unique opportunity for participants on both sides of the Atlantic to engage with the latest advancements in cognition-enabled everyday activity robotics.

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Courses


Workshops and hands-on courses have been organized with the time zone differences in mind. Sessions are staggered so that when one group is attending a live workshop, the other group might be engaged in pre-recorded lectures or asynchronous activities. This approach ensures that both groups have access to the same high-quality content while accommodating their respective local times. Additionally, all sessions are recorded and made available for later viewing, enabling participants to catch up on any content they might have missed due to the time difference.

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Fee & Registration


As application for the EASE Fall School 2024 we are asking for a short letter of motivation. The submission deadline is November 4th, 2024.
The EASE Fall School 2024 fee package is

Bremen, Germany Ann Arbor, Michigan
- Early Bird: 380 EUR registration until September 30st extended until October 15!)
- Regular: 420 EUR
Register now for our Fall School at Bremen, Germany! *
Registration: $ 450
Register now for our Fall School at Ann Arbor, Michigan! **
**Please do not enter your mailing address when filling the online payment form. Only enter your personal and payment information.

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School Committee

Program Committee Bremen

Program Committee Michigan Organization Committee Bremen

A humanoid robot is holding a cardboard box between both hands. The robot has the University of Michigan logo on its chest.

Accommodation Ann Arbor, Michigan

Accommodations for students , for lectures.

A robot holds a spoon and a bowl. In front of him is a table with cornflakes, milk, fruits and more.

Accommmodation Bremen, Germany

The following hotels are within walking distance to our venue:

Attention! A number of conferences and fairs are taking place in Bremen in November. Early booking of hotels is recommended!

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Research


The Robotics team at the Institute for Artificial Intelligence (IAI) at Universität Bremen is directed by Prof. M. Beetz. The team focuses on research in robotics and artificial intelligence and includes methods for knowledge representation for robots among other approaches.

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Social Events


Join us for our entertainment program! Our social events will give you the opportunity to network with other attendees and to make the most of your Fall School experience.

The glass building of the University of Bremen

Virtual rooms


Moreover, to enhance collaboration and networking, virtual breakout rooms and forums are established, allowing participants from both locations to interact beyond the scheduled sessions. These platforms are available 24/7, providing a space for continuous dialogue and idea exchange, regardless of the time zone. By leveraging technology and thoughtful scheduling, the EASE Fall School aims to create a seamless and enriching experience for all participants, transcending geographical boundaries and time differences.

For information on visa regulations, please visit the Federal Foreign Office's webpages.

Funding


The Fall School has been supported by the German Research Foundation DFG, as part of Collaborative Research Center (Sonderforschungsbereich) 1320 “EASE - Everyday Activity Science and Engineering”, University of Bremen.

With a six-hour time difference between Michigan and Bremen, we carefully plan our schedule to ensure that participants from both locations can attend key sessions and collaborate effectively. The schedule has been designed to maximize overlap during the central part of the day for both locations. For instance, joint sessions such as keynote lectures and panel discussions are scheduled during late morning in Michigan, which corresponds to the late afternoon in Bremen. This allows participants from both sites to join these sessions live, fostering real-time interaction and discussion.

Program of Bremen

time program Resources
09:30 – 10:00 Registration
10:00 – 10:30 Syrbe: Welcome Session EASE Fall School 2024
10:30 – 10:45 Break
10:45 – 13:30 Hands-on: Overview and Semantic Map Creation
13:30 – 15:00 Lunch Break
15:00 – 15:45 Michael Beetz: Everyday Activity Science & Engineering
15:45 – 16:00 Break
16:00 – 16:45 Chad Jenkins
16:45 – 17:00 Break
17:00 – 17:45 Fabian Ternava
timeprogramResources
10:00 – 11:45Hands-on: Robot Control with PyCRAM and Perception with RoboKudo 
11:45 – 12:00Break 
12:00 – 13:30Hands-on:  Robot Control with PyCRAM and Perception with RoboKudo 
13:30 – 15:00Lunch 
15:00 – 15:45Danica Kragic, Jens Lundell, Noemie Jaquier 
15:45 – 16:00Break 
16:00 – 16:45Anouk Girard 
17:00 – 17:45Ming Lin 
18:00 – 20:00Beck’s Brewery Tour 
time program Resources
10:00 – 11:45 Hands-on: Querying the Knowledge Base System KnowRob
11:45 – 12:00 Break
12:00 – 13:30 Hands-on: Querying the Knowledge Base System KnowRob
13:30 – 14:45 Lunch Break
14:45 – 15:00 Virtual Q&A Session
15:00 – 15:45 Sonia Chernova
15:45 – 16:00 Break
16:00 – 16:45 Benjamin Alt
17:00 – 17:45 Tetsuya Ogata
18:15 – 18:45 Transit
18:45 – 19:30 Ubica-Tour
19:30 – 22:00 Dinner
timeprogramRoom
10:00 – 11:45Hands-on: Extended Robot Control with PyCRAM 
11:45 – 12:00Break 
12:00 – 13:30Hands-on: Extended Robot Control with PyCRAM 
13:30 – 14:30Lunch Break 
14:30 – 15:00Interview: Dejan Pangercic 
15:00 – 15:45Karinne Ramirez 
15:45 – 16:00Break 
16:00 – 16:45Sami Haddadin 
16:45 – 17:00Break 
17:00 – 17:45Rachid Alami 
18:00 – 18:30Radu Rusu 
time program Resources
10:00 – 12:15 Hands-on: Create your own LLM Assistant
12:15 – 12:30 Break
12:30 – 13:30 Lab Tour
13:30 – 15:00 Lunch Break
15:00 – 15:45 Animesh Garg
15:45 – 16:00 Break
16:00 – 16:30 Michael Suppa
16:30 – 17:00 Peter Kampmann
17:00 – 17:45 Dimitra Panagou
18:00 – 18:15 Virtual Q&A
18:30 – 19:00 Farewell-Session

Program of Ann Arbor

timeprogramResources
08:00 – 09:00Registration 
09:00 – 09:45Michael Beetz 
09:45 – 10:00Break 
10:00 – 10:45Chad Jenkins 
10:45 – 11:00Break 
11:00 – 11:45Fabian Ternava 
11:45 – 01:30Lunch Break 
1:30 – 2:30Hands-on:  Overview and Semantic Map Creation 
2:30 – 2:45Break 
2:45 – 3:45Hands-on: Overview and Semantic Map Creation 
timeprogramResources
09:00 – 09:45Danica Kragic 
09:45 – 10:00Break 
10:00 – 10:45Anouk Girard 
10:45 – 11:00Break 
11:00 – 12:00Ming Lin 
12:00 – 1:30Lunch 
1:30 – 2:15Hands-On: Robot Control with PyCRAM and Perception with RoboKudo 
2:15 – 2:30Break 
2:30 – 4:30Hands-On: Robot Control with PyCRAM and Perception with RoboKudo 
time program Resources
09:00 – 09:45 Sonia Chernova
09:45 – 10:00 Break
10:00 – 11:45 Benjamin Alt
10:45 – 11:00 Break
11:00 – 11:45 Tetsuya Ogata
11:45 – 1:30 Lunch Break
1:30 – 2:30 Hands-On: Querying the Knowledge Base System KnowRob
2:30 – 2:45 Break
2:45 – 5:15 Hands-On:  Querying the Knowledge Base System KnowRob
timeprogramRoom
08:30 – 09:00Interview: Dejan Pangercic 
09:00 – 09:45Karinne Ramirez 
09:45 – 10:00Break 
10:00 – 10:45Sami Haddadin 
10:45 – 11:00Break 
10:00 – 11:45Rachid Alami 
12:00 – 12:30Radu Rusu 
12:30 – 1:30Lunch Break 
1:30 – 2:15Hands-on: Extended Robot Control with PyCRAM 
2:15 – 2:30Break 
2:30 – 5:00Hands-on: Extended Robot Control with PyCRAM 
time program Resources
09:00 – 09:45 Animesh Garg
09:45 – 10:00 Break
10:00 – 10:30 Michael Suppa
10:30 – 11:00 Peter Kampmann
11:00 – 11:45 Dimitra Panagou
12:00 – 1:30 Lunch Break
1:30 – 2:45 Hands-on: Create your own LLM Assistant
2:45 – 3:00 Break
3:00 – 5:00 Hands-on: Create your own LLM Assistant

EASE Fall School Participants 2021

* Cancellations, Changes, Refunds – Cancellation must be done in written form. Fees related to the EASE Fall School 2024 are refundable as follows after receiving the cancellation until October 1st, 2024. In case of cancellation until this date only a handling fee of EUR 40,00 will be retained/charged. Cancellations after this date will not be accepted and the fees are to be paid in full.

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