Lecturers |
Hands-On Lecturers |
|---|---|
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Venue
Our Fall School will take place in the beautiful historic City of Bremen, in the Northwest of Germany. With a population of around 500,000, the city on the Weser River is a hub for economy, science, and culture.
Lectures and Hand-On Courses will be given at the TAB Building and our Robotics Labs. All is locaed on campus of University of Bremen and within short walking distance to each other. SEE CAMPUS MAP
Courses
Our EASE Fall School 2022 starts on September 19 and ends on September 23.
Each day will start with a lecture given by experienced researchers, invited speakers and industrial partners. In the afternoons, hands-on courses provide insights into robot manipulation and everyday activity research methods and technologies.
Our program will also provide refreshments through the day, lunch each day, and a diverse and extensive cultural experience. Join us for our entertainment program, visit the Roland Statue and the famous Town Musicians of Bremen.
Fee
As application for the EASE Fall School 2022 we are asking for a short letter of motivation. The Submission Deadline is, extended to September 19th, 2022.
The EASE Fall School 2022 fee package is 350 EUR. Included are the following services:
- All lectures and workshops given during the Fall School
- Social Events
- Beverages
- Food
Program
| time | program | Resources |
|---|---|---|
| 08:00 – 09:00 | Registration | |
| 09:00 – 10:00 | Michael Beetz & Jörn Syrbe: Welcome session-EASE Fall School 2022 | |
| 10:00 – 10:15 | Break | |
| 10:15 – 11:15 | Antonio Lieto: A commonsense reasoning framework for dynamic knowledge invention via conceptual combination and blending – I | |
| 11:15 – 11:30 | Break | |
| 11:30 – 12:30 | Axel Ngonga: Class Expression Learning with Multiple Representations | |
| 12:30 – 13:30 | Lunch Break | |
| 13:30 – 14:30 | John Laird: Integratings SOAR with Perception and Action | |
| 14:30 – 14:45 | Break | |
| 14:45 – 18:15 | Arthur Niedzwiecki : Hands-on Cognitive Robot Abstract Machine (CRAM) | |
| 19:00 – 23:00 | Fall School Dinner at ratskeller Bremen |
| time | program | Resources |
|---|---|---|
| 09:00 – 10:00 | Antonio Lieto: A commonsense reasoning framework for dynamic knowledge invention via conceptual combination and blending – II | |
| 10:00 – 10:15 | Break | |
| 10:15 – 11:15 | Tetsunari Inamura: A digital twin system that extends the human and robot experience | |
| 11:15 – 11:30 | Break | |
| 11:30 – 12:30 | Philipp Cimiano: Common Sense & Knowledge Graphs | |
| 12:30 – 13:30 | Lunch Break | |
| 13:30 – 14:30 | John Laird: Interactive task learning – a cognitive architecture approach | |
| 14:30 – 14:45 | Break | |
| 14:45 – 18:15 | Michaela Kümpel: Hands-On Knowledge Graphs in Re | |
| 19:00 – 22:00 | Black Light Mini Golf @ Schwarzlichthof |
| time | program | Room |
|---|---|---|
| 09:00 – 10:00 | Alessandra Sciutti | |
| 10:00 – 10:15 | Break | |
| 10:15 – 11:15 | Michael Beetz: Knowledge Representation & Reasoning for Robots | |
| 11:15 – 11:30 | Break | |
| 11:30 – 12:30 | Katharina Rohlfing: Let’s think in frames | |
| 12:30 – 13:30 | Lunch Break | |
| 13:30 – 14:30 | Britta Wrede: Software Engineering for Cognitive Robots and Cognitive Systems | |
| 14:30 – 14:45 | Break | |
| 14:45 – 18:00 | Sascha Jongebloed: Hands-on Knowledge Representation and Episodic Memories | |
| 19:00 – 23:00 | Come Together (self payment) |
| time | program | Resources |
|---|---|---|
| 09:00 – 10:00 | Carlos Hernandez Corbato | |
| 10:00 – 10:15 | Break | |
| 10:15 – 11:15 | Benjamin Alt: Knowledge Representation & Reasoning in Industrial RoboticS | |
| 11:15 – 11:30 | Break | |
| 11:30 – 12:30 | Ubica | |
| 12:30 – 13:30 | Lunch Break | |
| 13:30 – 14:30 | Michael Beetz & Jörn Syrbe: Farewell Session | |
| 14:30 – 14:45 | Break | |
| 14:45 – 18:15 | Franklin Kenghagho Kenfack: Hands-on RoboSherlock |
School Committee
Program
- Prof. Dr. h.c. Michael Beetz University of Bremen
- Dr. Jörn Syrbe University of Bremen
- Dr. Hagen Langer University of Bremen
- Petra Wenzl University of Bremen
- Andrea Cowley University of Bremen
- Cornelia Biebow University of Bremen
- Michelle Regge University of Bremen
- Lisa Frerichs University of Bremen
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.
Accommodation
The following hotels are within walking distance to our venue:
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.
Travel and Visa
You can travel to Bremen by plane and train.
If traveling by plane, the nearest airport is City Airport Bremen. You can take Line 6 of the tram service BSAG, Bremer Straßenbahn AG, the local tram and bus service. The tram station is opposite the airport's entrance hall and goes directly from Bremen Airport (Bremen Flughafen) to Bremen University (Universität).
If traveling by train, you can also take Line 6 of the tram service as it stops at Central Station (Hauptbahnhof). Tickets can be purchased at automatic ticket machines that are operated by BSAG and located at the airport (exit), at Central Station, and on the trams. We recommend to buy a "7 Days Ticket" for 24,00 EUR that will be valid in Bremen-City (Zone 1) on seven consecutive days (no NightLine surcharge included).
If traveling by car, the venue of the EASE Fall School is located directly at the A27.
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.
EASE Fall School Participants 2021
