Sascha Jongebloed

Sascha Jongebloed

PhD student at the Institute for Artificial Intelligence, University of Bremen

Posts by Collection

projects

KnowRob

Published:

KnowRob is a knowledge processing system that combines knowledge representation and reasoning methods with techniques for acquiring knowledge and for grounding the knowledge in a physical system
KnowRob

openEASE

Published:

openEASE is a web-based knowledge service providing robot and human activity data
openEASE

publications

Ontology Partitioning Using E-Connections Revisited

Published in In Proc. 31st DL, vol. 2211 of CEUR, 2018

We revisit the technique for partitioning ontologies using E-connections introduced by Cuenca Grau et al. (2006).

Recommended citation: S. Jongebloed and T. Schneider: Ontology Partitioning Using E-Connections Revisited. In Proc. 31st DL, vol. 2211 of CEUR, 2018.

Prolog as a Querying Language for MongoDB

Published in arXiv preprint arXiv:2110.01284., 2021

We propose a new database querying language called Mongolog which is syntactically a subset of the Prolog language, and we define its operational semantics through translations into MongoDB aggregation pipelines.

Recommended citation: Beßler, D., Jongebloed, S., & Beetz, M. (2021). Prolog as a Querying Language for MongoDB. arXiv preprint arXiv:2110.01284.

An Ontological Model of User Preferences

Published in RobOntics workshop 2023, 2023

In this work, we thus investigate a formal model of preferences where options are non-atomic entities that are defined by the complex situations they bring about

Recommended citation: Mona Abdel-Keream, Daniel Beßler, Ayden Janssen, Sascha Jongebloed, Robin Nolte, Mihai Pomarlan and Robert Porzel, "An Ontological Model of User Preferences", In RobOntics workshop, 2023.

Cloud-based Digital Twin for Cognitive Robotics

Published in IEEE Global Engineering Education Conference (EDUCON) 2024, 2024

The paper presents a novel cloud-based digital twin learning platform for teaching and training concepts of cognitive robotics.

Recommended citation: Niedzwiecki, A., Jongebloed, S., Zhan, Y., Kümpel, M., Syrbe, J., Beetz, M., "Cloud-based Digital Twin for Cognitive Robotics", In IEEE Global Engineering Education Conference (EDUCON) 2024, 2024.

talks

Everyday Activity Robot Manipulation in an Interactive Learning Environment

Published:

At the IROS 2023 in Detroit, I conducted a tutorial on implementing knowledge representation and reasoning in cognitive robotics. This session, part of a broader teaching module, demonstrated how to develop AI systems that can autonomously perform complex tasks by deconstructing the robot control system. Utilizing Jupyter Notebooks within a Docker environment for accessibility, the tutorial covered the integration of knowledge representation, planning, and simulation, providing a holistic learning experience in cognitive-enabled robotics.

Presentation of the innovative Virtual Research Building (VRB) for AI-powered and cognition-supported robotics (Vorstellung des innovativen Virtual Research Building (VRB) für AI-powered und kognitionsgestützte Robotik)

Published:

The University of Bremen’s Institute for Artificial Intelligence (IAI) presented an innovative Virtual Research Building (VRB) for AI-powered and cognition-supported robotics. The VRB integrates resources for the entire research and innovation pipeline, offering comprehensive access to software components, CRAM architecture, and interactive learning materials. It supports dynamic collaboration and open-source contributions through virtual labs and promotes industry partnerships. The VRB aims to enhance the development of deployable robotic agents, providing a sustainable framework for continuous innovation in robotics.

teaching

Co-supervisor: Master Project SUTURO

Tutor, University of Bremen, Winter 2020

The Master Project SUTURO, running from Winterterm 2020/2021 to Summerterm 2021, aimed to develop intelligent robot systems capable of performing everyday tasks like tidying up rooms. The project focused on enhancing robots’ perceptual, control, and behavioral abilities through knowledge-based approaches. Further details (in german) can be found on the corresponding website.

Co-lecturer and co-tutor: AI-based robot control (KI-basierte Robotersteuerung)

Seminar, University of Bremen, Summer 2021

The seminar “AI-based robot control” prepares students for the Bachelor Project “SUTURO” at the University of Bremen. The seminar gives the students a first theoretical and practical insight into the foundations of ai-based robot control. In the seminar I gave lectures and tutorials about knowledge representation and reasoning for robots. Further details (in german) can be found on the corresponding website.

Co-supervisor: Bachelor Project SUTURO

Tutor, University of Bremen, Winter 2021

The Bachelor Project SUTURO, running from Winterterm 2021/2022 to Summerterm 2022, aimed to develop intelligent robot systems capable of performing everyday tasks like tidying up rooms. The project focused on enhancing robots’ perceptual, control, and behavioral abilities through knowledge-based approaches. Further details (in german) can be found on the corresponding website.

Co-supervisor: Master Project SUTURO

Tutor, University of Bremen, Winter 2022

The Master Project SUTURO, running from Winterterm 2022/2023 to Summerterm 2023, aimed to develop intelligent robot systems capable of performing everyday tasks like tidying up rooms. The project focused on enhancing robots’ perceptual, control, and behavioral abilities through knowledge-based approaches. The aim of the project was to participate at the RoboCup@Home. Further details (in german) can be found on the corresponding website.

Co-lecturer and co-tutor: AI-based robot control (KI-basierte Robotersteuerung)

Seminar, University of Bremen, Summer 2023

The seminar “AI-based robot control” prepares students for the Bachelor Project “SUTURO” at the University of Bremen. The seminar gives the students a first theoretical and practical insight into the foundations of ai-based robot control. In the seminar I gave lectures and tutorials about knowledge representation and reasoning for robots.

Co-supervisor: Master Project SUTURO

Tutor, University of Bremen, Winter 2023

The Bachelor Project SUTURO, running from Winterterm 2023/2024 to Summerterm 2024, aimed to develop intelligent robot systems capable of performing everyday tasks like tidying up rooms. The project focused on enhancing robots’ perceptual, control, and behavioral abilities through knowledge-based approaches. The aim of the project was to participate at the RoboCup@Home. Further details (in german) can be found on the corresponding website.

Co-tutor: Fundamentals of artificial intelligence (Grundlagen der Künstlichen Intelligenz)

Seminar, University of Bremen, Summer 2024

The course “Fundamentals of Artificial Intelligence” gives an overview of important fields and methods of artificial intelligence. The course gives the students a first insight into the foundations of AI based on the textbook by Russell and Norvig. In the course, I gave tutorials about basic AI methods like search and logic.