Sampling-based robotic information gathering algorithms
By Geoffrey A. Hollinger, G. Sukhatme. Int. J. Robotics Res., 2014
374 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Computer Vision and Pattern Recognition, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/0b2d197f90f3bce607a4465ea7312995f024a1a0
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
- Luca Carlone
- José A. Castellanos
- Julio A. Placed
- Vadim Indelman
- Henry Carrillo
- Jared Strader
- Nikolay A. Atanasov
- Davide Scaramuzza
In Computer Vision and Pattern Recognition
- José A. Castellanos
- Luca Carlone
- Julio A. Placed
- Vadim Indelman
- Henry Carrillo
- Jared Strader
- Nikolay A. Atanasov
- Davide Scaramuzza
In Mechanical Engineering
Citations in the corpus
- A Survey on Active Simultaneous Localization and Mapping: State of the Art and New Frontiers (2022, background): “Deterministic optimal control problems are easier to solve, and techniques, such as linear–quadratic– Gaussian (LQG) regulation [177] or search-based [9], [178], and sampling-based [179], [180], [181] motion planning are applicable.”