D-Lite: Navigation-Oriented Compression of 3D Scene Graphs for Multi-Robot Collaboration

Author:

Chang Yun1ORCID,Ballotta Luca2ORCID,Carlone Luca1ORCID

Affiliation:

1. Laboratory for Information and Decision Systems (LIDS), Massachusetts Institute of Technology, Cambridge, MA, USA

2. Department of Information Engineering, University of Padova, Padova, Italy

Funder

ARL DCIST CRA

ONR RAIDER

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Reference35 articles.

1. Compressing network graphs;gilbert;Proc LinkKDD Workshop ACM Conf KDD,0

2. Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

3. A quasi-polynomial-time approximation scheme for vehicle routing on planar and bounded-genus graphs;becker;Proc Annu Eur Symp Algorithms,0

4. The information bottleneck method;tishby;Proc Annu Allerton Conf Commun Control Comput,0

5. Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform

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1. Learning Agents in Robot Navigation: Trends and Next Challenges;Journal of Robotics and Mechatronics;2024-06-20

2. RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

3. Communication-Aware Map Compression for Online Path-Planning;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. Foundations of spatial perception for robotics: Hierarchical representations and real-time systems;The International Journal of Robotics Research;2024-02-12

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