Collaborative mapping of an earthquake‐damaged building via ground and aerial robots
By Nathan Michael, Shaojie Shen, Kartik Mohta, Yash Mulgaonkar, Vijay R. Kumar, K. Nagatani, Yoshito Okada, Seiga Kiribayashi, Kazuki Otake, Kazuya Yoshida and 3 more. J. Field Robotics, 2012
510 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Biomedical Engineering, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/fc922cabc43fafea6669c94a403ff4e7892c5328
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
- Davide Scaramuzza
- Vijay R. Kumar
- Roland Yves Siegwart
- Jeffrey A. Delmerico
- Antonio Loquercio
- Marco Hutter
- César Cadena
- Guoquan Huang
In Biomedical Engineering
- Davide Scaramuzza
- Antonio Loquercio
- Marco Hutter
- Roland Yves Siegwart
- Vijay R. Kumar
- Auke Jan Ijspeert
- Jan Peters
- Vladlen Koltun
In Electrical and Electronic Engineering
- Davide Scaramuzza
- Antonio Loquercio
- Jeffrey A. Delmerico
- Roland Yves Siegwart
- Marco Hutter
- Dario Floreano
- Mae L. Seto
- Howard Li
Citations in the corpus
- DroNet: Learning to Fly by Driving (2018, background): “surveillance, construction monitoring, delivery, and emergency response [1], [2], [3].”
- The current state and future outlook of rescue robotics (2019, methodology): “Part of the push for the technological development on ground robots is due to their increasing deployment in natural disaster scenarios (Michael et al., 2012; Nagatani et al., 2013).”
- Estimation, Control, and Planning for Aggressive Flight With a Small Quadrotor With a Single Camera and IMU (2017, background): “M ICRO Aerial Vehicles (MAVs) equipped with on-board sensors, are ideal platforms for autonomous navigation in complex and confined environments for solving tasks such as exploration [1], inspection [2], [3], mapping [4], interaction with the environment [5], [6] and, search and rescue [7].”
- Multiple‐Robot Simultaneous Localization and Mapping: A Review (2016, background): “present a very good example of a team of heterogenous robots (see Figure 8), including a quadrotor and two ground robots, which map a multifloor earthquake-damaged building collaboratively (Michael et al., 2012).”