Semantic mapping for mobile robotics tasks: A survey
By Ioannis Kostavelis, Antonios Gasteratos. Robotics Auton. Syst., 2015
423 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Control and Systems Engineering, Mechanical Engineering
View Paper: https://www.semanticscholar.org/paper/64f0ab3f2c141779fa8769ea192bd40b0a9529c7
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
- George Pappas
- Kostas Daniilidis
- James Harrison
- Sean L. Bowman
- Mary B. Alatise
- Brian Ichter
- Gerhard P. Hancke Jr.
- Nikolay A. Atanasov
In Control and Systems Engineering
- George Pappas
- Marco Pavone
- Kostas Daniilidis
- James Harrison
- Brian Ichter
- Gerhard P. Hancke Jr.
- Nikolay A. Atanasov
In Mechanical Engineering
Citations in the corpus
- Learning Sampling Distributions for Robot Motion Planning (2017, background): “These semantic mappings show promise towards allowing mobile robots to better understand task specifications and interact with humans [33].”
- Probabilistic data association for semantic SLAM (2017, background): “A recent comprehensive survey of semantic mapping can be found in [26].”
- A Review on Challenges of Autonomous Mobile Robot and Sensor Fusion Methods (2020, background): “Semantic information constitutes a better solution for interaction with humans [29], the representation is the most abstract representation model and adds concepts such as utilities or meanings of the environment elements in the map representation.”