Beiming Li — 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 ↗

2023

SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain

Yuezhan Tao, Yuwei Wu, Beiming Li, Fernando Cladera, Alex Zhou, Dinesh Thakur +1

ICRA 2023poster

We address the problem of efficient 3-D exploration in indoor environments for micro aerial vehicles with limited sensing capabilities and payload/power constraints. We develop an indoor exploration framework that uses learning to predict the occupancy of unseen areas, extracts semantic features, sa…

Cited by 46 Source ↗code ↗Scholar ↗