MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model-Reference-Cited by-同舟云学术

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MR-GMMExplore: Multi-Robot Exploration System in Unknown Environments based on Gaussian Mixture Model

Published:2022-12-05 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)
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Author:

Wu Yichun¹,Gu Qiuyi¹,Yu Jincheng¹,Ge Guangjun¹,Wang Jian¹,Liao Qingmin²,Zhang Chun³,Wang Yu¹

Affiliation:

1. Tsinghua University,Department of Electronic Engineering,Beijing,China

2. Tsinghua University,Shenzhen International Graduate School,Beijing,China

3. Tsinghua University,School of Integrated Circuits,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10011626/10011636/10011789.pdf?arnumber=10011789

Reference22 articles.

1. Accelerated Generative Models for 3D Point Cloud Data

2. On-Manifold GMM Registration

3. GMMLoc: Structure Consistent Visual Localization With Gaussian Mixture Models

4. Communication-Efficient Planning and Mapping for Multi-Robot Exploration in Large Environments

5. Rapid and high-fidelity subsurface exploration with multiple aerial robots;goel;International Symposium on Experimental Robotics,2020

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