Jan-Gerrit Habekost

According to our database, Jan-Gerrit Habekost authored at least 9 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

IROS Data: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

Dataset, September, 2025

IROS Code: Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

Dataset, September, 2025

Personalised Explanations in Long-term Human-Robot Interactions.

Ferran Gebellí, Anaís Garrell, Jan-Gerrit Habekost, Séverin Lemaignan, Stefan Wermter, Raquel Ros

CoRR, July, 2025

Shaken, Not Stirred: A Novel Dataset for Visual Understanding of Glasses in Human-Robot Bartending Tasks.

Lukás Gajdosech, Hassan Ali, Jan-Gerrit Habekost, Martin Madaras, Matthias Kerzel, Stefan Wermter

CoRR, March, 2025

Keypoint-Based Diffusion for Robotic Motion Planning on the NICOL Robot.

Lennart Clasmeier, Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning. ICANN 2025 International Workshops and Special Sessions, 2025

2024

Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents.

Jan-Gerrit Habekost, Connor Gäde, Philipp Allgeuer, Stefan Wermter

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

Domain Adaption as Auxiliary Task for Sim-to-Real Transfer in Vision-based Neuro-Robotic Control.

Connor Gäde, Jan-Gerrit Habekost, Stefan Wermter

Proceedings of the International Joint Conference on Neural Networks, 2024

2023

NICOL: A Neuro-Inspired Collaborative Semi-Humanoid Robot That Bridges Social Interaction and Reliable Manipulation.

Matthias Kerzel, Philipp Allgeuer, Erik Strahl, Nicolas Frick, Jan-Gerrit Habekost, Manfred Eppe, Stefan Wermter

IEEE Access, 2023

CycleIK: Neuro-inspired Inverse Kinematics.

Jan-Gerrit Habekost, Erik Strahl, Philipp Allgeuer, Matthias Kerzel, Stefan Wermter

Proceedings of the Artificial Neural Networks and Machine Learning, 2023