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Abstract: In the past decade, although single-robot Synchronization and repeatability are essential for industrial Coordinating heterogeneous robots is essential for autonomous Talk by Nathan Glaser at ICRA 2020 Workshop on Emerging Learning and Algorithmic Methods for Data Association in Correspondence identification (CoID) is an essential component for This video showcases our thesis work during the spring of 2023. Four Turtlebot3

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Heterogeneous multi-robot collaborative scheduling with dynamic subteaming
Multi-Robot Collaborative Localization and Planning with Inter-Ranging
Autonomous Cooperative Multi-robot System: A Fully Distributed Approach
Enhancing Multi-Robot Perception via Learned Data Association
AIRS in the AIR: Multi-robot Systems (I) | Martin Saska and Luis Merino
Nugget 1: Introduction to Multi-Robot Collaboration
Collaborative and Adversarial 3D Perception for Autonomous Driving
Deep masked graph matching for correspondence identification in collaborative perception
Master Thesis: Multi-Robot Collaborative Autonomous Exploration

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Last Updated: June 8, 2026

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