Jan-Gerrit Habekost — accepted AI-conference papers

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

IROS 2025

Datasets for object detection often do not account for enough variety of glasses, due to their transparent and reflective properties. Specifically, open-vocabulary object detectors, widely used in embodied robotic agents, fail to distinguish subclasses of glasses. This scientific gap poses an issue

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2024

Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied Agents

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

IROS 2024poster

This paper introduces a novel zero-shot motion planning method that allows users to quickly design smooth robot motions in Cartesian space. A Bézier curve-based Cartesian plan is transformed into a joint space trajectory by our neuro-inspired inverse kinematics (IK) method CycleIK, for which we enab…

Cited by 3 Source ↗code ↗Scholar ↗