ProxMaP: Proximal Occupancy Map Prediction for Efficient Indoor Robot Navigation

Author:

Sharma Vishnu D.1,Chen Jingxi1,Tokekar Pratap1

Affiliation:

1. University of Maryland,College Park,USA

Funder

National Science Foundation

ONR

Publisher

IEEE

Reference22 articles.

1. Occupancy Anticipation for Efficient Exploration and Navigation

2. Uncertainty-driven Planner for Exploration and Navigation

3. Map completion from partial observation using the global structure of multiple environmental maps

4. Ai2-thor: An interactive 3d environment for visual ai;Kolve;arXiv preprint,2017

5. Habitat-matterport 3d dataset (HM3d): 1000 large-scale 3d environments for embodied Al;Ramakrishnan,2021

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2. Method for Estimating Road Impulse Ahead of Vehicles in Urban Environment with Microelectromechanical System Three-Dimensional Sensor;Sensors;2024-02-11

3. Pred-NBV: Prediction-Guided Next-Best-View Planning for 3D Object Reconstruction;2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS);2023-10-01

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