Nicolaj Bösel-Schmid — accepted AI-conference papers

2025

Cumulative Informative Path Planning for Efficient Gas Source Localization with Mobile Robots

Wanting Jin, Hugo Leroy, Nicolaj Bösel-Schmid, Alcherio Martinoli

IROS 2025

Localizing gas sources is a challenging task due to the complex nature of gas dispersion. Informative Path Planning (IPP) plays a crucial role in guiding robots to sample at high-information positions, thereby accelerating the estimation process. Existing probabilistic gas source localization method

Cited by 0 Source ↗Scholar ↗

2025

Physics-Based Gas Mapping with Nano Aerial Vehicles: The ADApprox Algorithm

Nicolaj Bösel-Schmid, Wanting Jin, Alcherio Martinoli

IROS 2025

Gas emissions play a crucial role in many environmental and industrial processes, driving a growing effort to understand their dispersion in air. Nonetheless, gas distribution mapping is inherently challenging due to the complex interplay between gas diffusion and wind flows. Mobile robots provide a

Cited by 0 Source ↗Scholar ↗