On-line Planning on Active SLAM-Based Robot Olfaction for Gas Distribution Mapping

2018 ◽  
Author(s):  
Duddy Soegiarto ◽  
Bambang Riyanto Trilaksono ◽  
Widyawardana Adiprawita ◽  
Egi Muhammad Idris ◽  
Yayan Prima Nugraha
Keyword(s):  
Gas Distribution ◽  
Line Planning ◽  
Distribution Mapping ◽  
On Line ◽  
Gas Distribution Mapping

Gas Distribution Mapping Based on Compressed Sensing

2021 ◽  
Vol 141 (4) ◽  
pp. 113-114
Author(s):  
Michiya Inagaki ◽  
Haruka Matsukura ◽  
Daisuke Iwai ◽  
Kosuke Sato
Keyword(s):  
Compressed Sensing ◽  
Gas Distribution ◽  
Distribution Mapping ◽  
Gas Distribution Mapping

Time-variant gas distribution mapping with obstacle information

2015 ◽  
Vol 40 (1) ◽  
pp. 1-16 ◽  
Author(s):  
Javier G. Monroy ◽  
Jose-Luis Blanco ◽  
Javier Gonzalez-Jimenez
Keyword(s):  
Gas Distribution ◽  
Distribution Mapping ◽  
Gas Distribution Mapping

scholarly journals Gas distribution mapping of multiple odour sources using a mobile robot

Robotica ◽  
2009 ◽  
Vol 27 (2) ◽  
pp. 311-319 ◽  
Author(s):  
Amy Loutfi ◽  
Silvia Coradeschi ◽  
Achim J. Lilienthal ◽  
Javier Gonzalez
Keyword(s):  
Mobile Robot ◽  
Spatial Information ◽  
Gas Distribution ◽  
Outdoor Environments ◽  
Distribution Mapping ◽  
Multi Level ◽  
Indoor And Outdoor Environments ◽  
Gas Distribution Mapping ◽  
Indoor And Outdoor

SUMMARYMobile olfactory robots can be used in a number of relevant application areas where a better understanding of a gas distribution is needed, such as environmental monitoring and safety and security related fields. In this paper, we present a method to integrate the classification of odours together with gas distribution mapping. The resulting odour map is then correlated with the spatial information collected from a laser range scanner to form a combined map. Experiments are performed using a mobile robot in large and unmodified indoor and outdoor environments. Multiple odour sources are used and are identified using only transient information from the gas sensor response. The resulting multi-level map can be used as a representation of the collected odour data.

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