Virtual EASE & REMARO Fall School

8th - 12th November 2021

The EASE & REMARO Fall School is the place to get into the exciting field of cognition-enabled everyday activity and underwater robotics. Our Fall school gives doctoral students the chance to learn more about AI, robotics and the challenging field of robot manipulation in everyday and underwater environments. In lectures and hands-on courses, the Fall School students can exchange thoughts and ideas with our invited speakers and experts from the collaborative research center EASE and the REMARO network.



Due to the uncertainties revolving around the COVID-19 virus, the lectures will be conducted online.

All lectures and forums will be conducted via the HyHyve online event and networking platform. To access the platform kindly register in advance. The registration form is at the bottom of the page.

EASE Fall School 2018-4687


Our EASE & REMARO Fall School 2021 starts on November 8th and ends on November 12th.

Each day will start with a lecture given by experienced researchers, invited speakers and industrial partners.
This year the EASE Fall School is co-hosted by the REMARO network and offers the first REMARO training workshops in joint and separate sessions.

A stack of books


As application for the EASE Fall School 2021 we are asking for a short letter of motivation. The Submission Deadline is November 4th, 2021.
The EASE Fall School 2021 fee package is free of charge. Included are the following services:

- All lectures and workshops given during the Fall School


time program Resources
12:00 Registration (Virtual Space)
12:00 – 13:00 Welcome session-EASE Fall School 2021 (Michael Beetz, Jörn Syrbe)
13:00 – 13:30 Break
13:30 – 14:30 Michael Beetz: Knowledge Representation for Robotics
14:30 – 15:00 Break
15:00 – 16:00 Hands-On NEEMS (Sascha Jongebloed) NEEMS Tutorial
16:00 – 17:00 Hands-On Neems (Sascha Jongebloed)
17:00 – 18:00 Hands-on  Recording Neems (Michael Neumann)
time program Resources
12:00 – 13:00 David Vernon: Action Selection and Execution in Everyday Activities – A Cognitive Robotics and Situation Model Perspective
13:00 – 13:30 Break
13:30 – 14:30 Jean-Baptiste Weibel: Robot Perception for Grasping
14:30 – 15:00 break
15:00 – 16:00 Martin Butz: Event-Predictive Active Inference - Developing Conceptual, Compositional Cognition from Sensorimotor Experiences
16:00 – 17:00 Hands-on Robot Perception (Vanessa Hassouna) RoboSherlock Tutorial
17:00 – 18:00 Hands-on Robot Perception (Vanessa Hassouna)
18:00 – 19:00 Hands-on Robot Perception (Vanessa Hassouna)
time program Resources
12:00 – 13:00 Maria Hedblom: From sense to reason – using image schemas to intelligently reason about objects and events
13:00 – 13:30 Break
13:30 – 14:30 Sven Behnke: Perception, Planning, and Learning for Cognitive Robots
14:30 – 15:00 Break
15:00 – 16:00 Hands-On CRAM (Alina Hawkin, Arthur Niedzwiecki) CRAM Tutorial
16:00 – 17:00 Hands-On CRAM (Alina Hawkin, Arthur Niedzwiecki)
17:00 – 18:00 Hands-On CRAM (Alina Hawkin, Arthur Niedzwiecki)
timeprogramVirtual Room
12:00 – 13:00Michael Beetz: Cognitive-enabled robotics – where are we? 
13:00 – 13:30Break 
13:30 – 14:30Pedro Lima: A Probabilistic Approach to Benchmarking and Performance Evaluation of Robot Systems 
14:30 – 15:00Break 
15:00 – 16:00

Karinne Ramirez:

Stretching the limits of Knowledge Representations in Robotics

16:00 – 17:00Open Lab / NetworkingOpen Lab Sessions
17:00 – 18:00Roberto Martín-Martín: Representing Knowledge for Robotic Tasks in Household Environments 
18:00 – 19:00Open Lab / NetworkingOpen Lab Sessions
19:00 – 20:00Stefanie Tellex 
timeprogramVirtual location (Room)
10:20 – 10:30REMARO Welcome Session (Andrzej Wasowski) 
10:30 – 11:00Antonio Sergio: Designing of light autonomous underwater vehicle (LAUV) 
11:00 – 11:15Martin Aubard: AI side-scan sonar for LAUV application 
11:15 – 11:30Sergio Daniel Quijano: Model-based testing in the LAUV case study 
11:30 – 12:00Break 
12:00 – 15:00EASE Sessions 
15:00 – 15:30Yury Brodskiy: UnsuperPoint – End-to-end unsupervised interest point detector and descriptor generator 
15:30 – 16:00Olaya Alvarez Tunon: Developing a simulator with Gazebo+ROS 
16:00 – 16:15Coffee break 
16:15 – 16:45Sasan Vakili: Stochastic hybrid systems 
16:45 – 17:15Jeremy Coffelt: How do autonomous underwater robots decide what to do? 
17:15 – 17:30Coffee break 
17:30 – 18:00Breakout Sessions 
18:00 – 18:30Conclusions in plenum (Andrzej Wasowski) 
time program Resources
12:00 – 13:00 ROSEN, artiminds
13:00 – 13:30 Break
13:30 – 14:30 Michael Suppa: Perception for Real-Life Applications
14:30 – 15:00 Break
15:00 – 16:00 Farewell session (Michael Beetz, Jörn Syrbe)
16:00 – 17:00 Hands-On Knowledge4Retail (Michaela Kümpel)
17:00 – 18:00 Hands-On Knowledge4Retail (Michaela Kümpel)
18:00 – 19:00 Hands-On Knowledge4Retail (Michaela Kümpel)
A Logo of is on a lenyard


The glass building of the University of Bremen


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.

The REMARO ETN is a consortium of recognized submarine AI experts, software reliability experts, and a marine safety certification agency created to educate 15 ESRs able to realize the vision of reliable autonomy for underwater applications.



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.

The REMARO project has received funding from the European Union's EU Framework Programme for Research and Innovation Horizon 2020 under Grant Agreement No 956200.

EASE & REMARO Fall School Participants 2021

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