Eran Iceland — accepted AI-conference papers

2024

Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles

Yuezhan Tao, Eran Iceland, Beiming Li, Elchanan Zwecher, Uri Heinemann, Avraham Cohen +4

ICRA 2024poster

In this paper, we address the challenge of exploring unknown indoor environments using autonomous aerial robots with Size Weight and Power (SWaP) constraints. The SWaP constraints induce limits on mission time requiring efficiency in exploration. We present a novel exploration framework that uses De…

Cited by 9 Source ↗Scholar ↗

2022

Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping

Elchanan Zwecher, Eran Iceland, Sean R. Levy, Shmuel Y. Hayoun, Oren Gal, Ariel Barel

ICRA 2022poster

The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effective when the environment is completely unknown. However, in cases where prior statistical data on the environment's ar…

Cited by 14 Source ↗Scholar ↗