3 citations · 5 across the 5 of their papers we have counts for
5 papers
Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles
Yuezhan Tao, Eran Iceland, Beiming Li +7
In this paper, we address the challenge of exploring unknown indoor aerial environments using autonomous aerial robots with Size Weight and Power (SWaP) constraints. The SWaP const…
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping
Elchanan Zwecher, Eran Iceland, Sean R. Levy +3
The challenge of mapping indoor environments is addressed. Typical heuristic algorithms for solving the motion planning problem are frontier-based methods, that are especially effe…
Deep-Learning-Aided Path Planning and Map Construction for Expediting Indoor Mapping
Elchanan Zwecher, Eran Iceland, Shmuel Y. Hayoun +3
The problem of autonomous indoor mapping is addressed. The goal is to minimize the time to achieve a predefined percentage of exposure with some desired level of certainty. The use…
Training Over Sparse Multipath Channels in the Low SNR Regime
Elchanan Zwecher, Dana Porrat
Training over sparse multipath channels is explored. The energy allocation and the optimal shape of training signals that enable error free communications over unknown channels are…
Spreading Signals in the Wideband Limit
Elchanan Zwecher, Dana Porrat
Wideband communications are impossible with signals that are spread over a very large band and are transmitted over multipath channels unknown ahead of time. This work exploits the…