EASE is an interdisciplinary research center at the University of Bremen that investigates everyday activity science & engineering. Everyday Activity Science and Engineering (EASE) is the study of the design, realization, and analysis of information processing models that enable robotic agents (and humans) to master complex human-scale manipulation tasks that are mundane and routine. EASE not only investigates action selection and control but also the methods needed to acquire the knowledge, skills, and competence required for flexible, reliable, and efficient mastery of these activities.


The key components are:


  • the fundamental research thread (Research) which organizes and executes the EASE research agenda
  • openEASE, which collects the community-based initiatives of EASE, including the openEASE knowledge service, the opensource software packages KNOWROB, ROBOSHERLOCK, ROBCOG, PRAC, CRAM, and GISKARD, open teaching and training efforts, as well as cooperative opportunities.
  • EASEacademy, which provides the EASE teaching and training facilities including the EASE doctoral training school, courses for students at the University of Bremen, offering for Highschool students, as well as internet teaching material
  • EASEinnovation, includes the technology transfer efforts of EASE, such as applied research and technology transfer projects, innovation activities
  • EASEoutreach provides information material for the general public and media

Seminars and Events

  1. EASE fall school

    September 17 - September 21


C. Freksa, J. van de Ven,  D. Wolter (2018):
Formal representation of qualitative direction
In International Journal of Geographical Information Science published by Taylor & Francis in 2018 [Link]

J. Suchan, M. Bhatt, P. Walega, C. Schultz (2018):
Visual Explanation by High-Level Abduction: On Answer-Set Programming Driven Reasoning about Moving Objects 
In AAAI 2018: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, February 2-7. 2018, New Orleans, USA. (to appear)

André Hernich, Carsten Lutz, Fabio Papacchini, Frank Wolter:
Horn Rewritability vs PTime Query Answering for Description Logic TBoxes
Description Logics 2017 [pdf]

J. Suchan, M. Bhatt. (2017):
Commonsense Scene Semantics for Cognitive Robotics: Towards Grounding Embodied Visuo-Locomotive Interactions
In ICCV 2017 Workshop: Vision in Practice on Autonomous Robots (ViPAR), International Conference on Computer Vision (ICCV), Venice, Italy. (to appear) [pdf]

J. Suchan, M. Bhatt. (2017):
Deep Semantic Abstractions of Everyday Human Activities 
On Commonsense Representations of Human Interactions, ROBOT 2017: Third Iberian Robotics Conference. (to appear)