Learning to Explore Indoor Environments using Autonomous Micro Aerial
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Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles

13 September 2023

Papers citing "Learning to Explore Indoor Environments using Autonomous Micro Aerial Vehicles"

8 / 8 papers shown

Title
DART: Dual-level Autonomous Robotic Topology for Efficient Exploration in Unknown Environments Qiming Wang Yulong Gao Yang Wang Xiongwei Zhao Yijiao Sun Xiangyan Kong 51 0 0 17 Mar 2025
MapExRL: Human-Inspired Indoor Exploration with Predicted Environment Context and Reinforcement Learning Narek Harutyunyan Brady G. Moon Seungchan Kim Cherie Ho Adam Hung Sebastian A. Scherer 66 0 0 03 Mar 2025
Sensor Fusion for Autonomous Indoor UAV Navigation in Confined Spaces Alice James Avishkar Seth E. Kuantama S. Mukhopadhyay Richard Han 32 0 0 27 Oct 2024
MapEx: Indoor Structure Exploration with Probabilistic Information Gain from Global Map Predictions Cherie Ho Seungchan Kim Brady G. Moon Aditya Parandekar Narek Harutyunyan Chen Wang Katia P. Sycara Graeme Best Sebastian Scherer 47 6 0 23 Sep 2024
P2 Explore: Efficient Exploration in Unknown Cluttered Environment with Floor Plan Prediction Kun Song Gaoming Chen M. Tomizuka Wei Zhan Zhenhua Xiong Mingyu Ding 33 0 0 17 Sep 2024
Beyond the Frontier: Predicting Unseen Walls from Occupancy Grids by Learning from Floor Plans Ludvig Ericson Patric Jensfelt 42 7 0 13 Jun 2024
SEER: Safe Efficient Exploration for Aerial Robots using Learning to Predict Information Gain Yuezhan Tao Yuwei Wu Beiming Li Fernando Cladera Ojeda Alex Zhou Dinesh Thakur Vijay R. Kumar 23 37 0 22 Sep 2022
Integrating Deep Reinforcement and Supervised Learning to Expedite Indoor Mapping E. Zwecher Eran Iceland Sean R. Levy S. Hayoun O. Gal Ariel Barel 46 10 0 17 Sep 2021