Research Staff |
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Tel: | +49 421 218 64044 | ||
Room: | TAB 2.81 | ||
Mail: | hassouna(at)cs[dot]uni-bremen[dot]de | ||
I am passionate about advancing robotics, particularly in enabling robotic systems to perform complex, real-world tasks autonomously. My current focus lies in the development of generalized, context-aware actions such as cutting, pouring, and transporting, especially within dynamic environments like household tasks. I am interested in creating adaptable action models that utilize scene graphs and domain knowledge to empower robots to operate with greater flexibility and autonomy.
I've had the opportunity to participate in RoboCup@Home three times, and for the second year, I am part of the technical committee, contributing to shaping the future of robotics in real-world applications. By leveraging cognitive models and scalable algorithms, I aim to contribute to the future of household robotics, making robots more efficient in managing multi-step, context-dependent tasks. I’m also keen on exploring how we can integrate symbolic reasoning and action cores to allow robots to perform actions more independently and in unpredictable situations.
Feel free to connect if you're interested in robotics, AI, or research collaboration!
[1] | Dhanabalachandran, Kaviya, Hassouna, Vanessa, Hedblom, Maria M., Kümpel, Michaela, Leusmann, Nils and Beetz, Michael, "Cutting Events: Towards Autonomous Plan Adaption by Robotic Agents through Image-Schematic Event Segmentation", In Proceedings of the 11th on Knowledge Capture Conference, Association for Computing Machinery, New York, NY, USA, pp. 25–32, 2021. |
[2] | Kümpel, Michaela, Vyas, Abhijit, Hassouna, Vanessa and Beetz, Michael, "Task Learning Using Actionable Knowledge Graphs", In ICRA40- 40th Anniversary of the IEEE International Conference on Robotics and Automation, 2024. in press |
[3] | Kümpel, Michaela, Töberg, Jan-Phillip, Hassouna, Vanessa, Cimiano, Phillip and Beetz, Michael, "Towards a Knowledge Engineering Methodology for Flexible Robot Manipulation in Everyday Tasks", In Actionable Knowledge Representation and Reasoning for Robots (AKR^3) at European Semantic Web Conference (ESWC), 2024. |