Distributed odor source localization
By Adam T. Hayes, Alcherio Martinoli, Rodney M. Goodman. 2002
471 citations recorded by the source corpus.
Subfields: Biomedical Engineering, Insect Science, Sensory Systems
View Paper: https://www.semanticscholar.org/paper/d322bd9a8fb2d030d4cc016de4a91eaf2b4e86e6
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Biomedical Engineering
- Ying Tan
- Zhongyang Zheng
- R. Russell
- Gideon Kowadlo
- Debasish Ghose
- Alcherio Martinoli
- Krishnanand N. Kaipa
- Pinar Çivicioglu
In Insect Science
- Debasish Ghose
- Krishnanand N. Kaipa
- Ying Tan
- R. Russell
- Gideon Kowadlo
- Zhongyang Zheng
- Kenneth Sörensen
- Heitor Silvério Lopes
In Sensory Systems
Citations in the corpus
- Robot Odor Localization: A Taxonomy and Survey (2008, methodology): “Hayes et al. (2001, 2002, 2003) revisited the use of swarms to tackle odor localization, using simulations as well as practical robots.”
- Research Advance in Swarm Robotics (2013, methodology): “A common olfaction based algorithms can be decomposed into three or four sub procedures first proposed by Hayes [165] and Li [166].”
- Detection of multiple source locations using a glowworm metaphor with applications to collective robotics (2005, background): “Detecting, seeking, and tracking gradient-inducing sources has received attention recently [4,5,6] in the”
- Modeling Swarm Robotic Systems: a Case Study in Collaborative Distributed Manipulation (2004, background): “(14) tells us that we need another robot already gripping a stick and a correct approaching angle for the searching robot in order to achieve successful collaboration while Eq.”