In this paper we tackle the problem of finding the source of a gaseous leak with a robot in a three-dimensional (3-D) physical space. The proposed method extends the operational range of the probabilistic Infotaxis algorithm [1] into 3-D and makes multiple improvements in order to increase its performance in such settings. The method has been tested systematically through high-fidelity simulations and in a wind tunnel emulating realistic conditions. The impact of multiple algorithmic and environmental parameters has been studied in the experiments. The algorithm shows good performance in various environmental conditions, particularly in high wind speeds and different source release rates
Finding the best spatial formation of stationary gas sensors in detection of odor clues is the first...
This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow...
This paper presents a method for odor plume tracking by a swarm of robots in realistic conditions. I...
Finding the source of gaseous compounds released in the air with robots finds several applications i...
The large number of potential applications for robotic odor source localization has motivated the de...
We compare six different algorithms for localizing odor sources with mobile robots. Three algorithms...
Robotic odor source localization is a promising tool with numerous applications in safety, search an...
International audienceTracking scents and locating odor sources is a major challenge in robotics. Th...
Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, ...
Multiple robots with chemical sensors as a dynamic distributed system are more efficient to localize...
Odor source localization (OSL) robots are essential for safety and rescue teams to overcome the prob...
We introduce a novel bio-inspired odor source localization algorithm (surge- cast) for environments ...
Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here ...
We compare three bio-inspired odor source localization algorithm (casting, surge-spiral and surge-ca...
This paper describes an experiment for gas-source localization with a human-teleoperated mobile robo...
Finding the best spatial formation of stationary gas sensors in detection of odor clues is the first...
This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow...
This paper presents a method for odor plume tracking by a swarm of robots in realistic conditions. I...
Finding the source of gaseous compounds released in the air with robots finds several applications i...
The large number of potential applications for robotic odor source localization has motivated the de...
We compare six different algorithms for localizing odor sources with mobile robots. Three algorithms...
Robotic odor source localization is a promising tool with numerous applications in safety, search an...
International audienceTracking scents and locating odor sources is a major challenge in robotics. Th...
Finding sources of airborne chemicals with mobile sensing systems finds applications across safety, ...
Multiple robots with chemical sensors as a dynamic distributed system are more efficient to localize...
Odor source localization (OSL) robots are essential for safety and rescue teams to overcome the prob...
We introduce a novel bio-inspired odor source localization algorithm (surge- cast) for environments ...
Author Posting. © The Author(s), 2011. This is the author's version of the work. It is posted here ...
We compare three bio-inspired odor source localization algorithm (casting, surge-spiral and surge-ca...
This paper describes an experiment for gas-source localization with a human-teleoperated mobile robo...
Finding the best spatial formation of stationary gas sensors in detection of odor clues is the first...
This paper addresses the collective odor source localization (OSL) problem in a time-varying airflow...
This paper presents a method for odor plume tracking by a swarm of robots in realistic conditions. I...