Christopher May — accepted AI-conference papers

2026

DRL-SFM: Learning Social Navigation from Costmaps and Social Forces for Mobile Robots and Intelligent Wheelchairs

Matthias Kalenberg, Kilian Gerhard Probst, Andreas Gründer, Christopher May, Jonas Walter, Jörg Franke

ICRA 2026poster

The demand for assistive robots for passenger transport, such as intelligent wheelchairs, is increasing rapidly due to demographic changes. To allow passengers to navigate in crowded environments, such as shopping malls and hospitals, these systems must navigate in a socially accepted manner that en…

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2026

One Prompt, Many Rooms: A Force-Directed Approach to 3D Scene Generation for Robotics Simulation

Christopher May, Peter Hetzner, Matthias Kalenberg, Ashwin Sajith Nambiar, Jörg Franke, Sebastian Reitelshöfer

ICRA 2026poster

Training generalizable robotic agents requires large datasets of diverse, physically consistent 3D scenes, yet their generation remains a critical bottleneck. Current text-to-scene methods are inefficient for this task; generating diverse layouts requires repeated, expensive sampling that fails to m…

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2020

Synthesis and Completion of Facades from Satellite Imagery

Xiaowei Zhang, Christopher May, Daniel Aliaga

ECCV 2020poster

Automatic satellite-based reconstruction enables large and widespread creation of urban areas. However, satellite imagery is often noisy and incomplete, and is not suitable for reconstructing detailed building facades. We present a machine learning-based inverse procedural modeling method to automat…

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