Distributed Multirobot Exploration and Mapping

By Dieter Fox, Jonathan Ko, Kurt Konolige, Benson Limketkai, Dirk Schulz, Benjamin Stewart. Proceedings of the IEEE, 2005

411 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/0b24c086275ff7f4ee0a80bbbb170ff6068d7298

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Luca Carlone
2. Davide Scaramuzza
3. John J. Leonard
4. Sajad Saeedi
5. Mae L. Seto
6. Howard Li
7. Ian David Reid
8. José Neira

In Computer Vision and Pattern Recognition

1. Davide Scaramuzza
2. Luca Carlone
3. John J. Leonard
4. Ian David Reid
5. César Cadena
6. Sajad Saeedi
7. Mae L. Seto
8. Howard Li

In Mechanical Engineering

1. Luca Carlone
2. Mae L. Seto
3. Davide Scaramuzza
4. Howard Li
5. César Cadena
6. Michael Trentini
7. Sajad Saeedi

Citations in the corpus

• Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, background): “For instance, rendezvous is a good approach to verify the results (Fox et al., 2006).”
• Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age (2016, positive): “An early attempt to tackle this issue is [85], in which robots actively verify location hypotheses using a rendezvous strategy before fusing information.”
• DAvinCi: A cloud computing framework for service robots (2010, background): “The papers [8], [9], [10] describe algorithms, techniques and approaches for a network of robots for coordinated exploration and map building.”