Iliya Kulbaka — accepted AI-conference papers

2025

GDM-Net++: Multi-robot 2D and 3D Gas Distribution Mapping Via Deep Q-Learning and Gaussian Process Regression

Iliya Kulbaka, Ayan Dutta, O. Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy

IROS 2025

Gas distribution mapping (GDM) refers to the task of mapping the gas concentrations of an airborne chemical over a region of interest. A mobile robot equipped with a gas sensor can be used potentially autonomously to build such a distribution map. However, modern-day robots might not have enough bat

Cited by 1 Source ↗Scholar ↗

2024

GDM-Net: Gas Distribution Mapping with a Mobile Robot Using Deep Reinforcement Learning and Gaussian Process Regression

Iliya Kulbaka, Ayan Dutta, O. Patrick Kreidl, Ladislau Bölöni, Swapnoneel Roy

IROS 2024poster

In a gas distribution mapping (GDM) task, the objective of a mobile robot is to map the gas concentrations of an airborne chemical over a region of interest using onboard sensing. Given the limited battery budget available to the robot, covering the entire area to measure gas concentrations at every…

Cited by 0 Source ↗Scholar ↗