Review
Robotics
Adam Francis, Shuai Li, Christian Griffiths, Johann Sienz
Summary: This paper provides an up to date and comprehensive overview of the research on the use of mobile robots for gas sensing applications. It focuses on recent probabilistic algorithms developed for both single robot and multirobot applications.
JOURNAL OF FIELD ROBOTICS
(2022)
Article
Physiology
Harald Tichy, Maria Hellwig
Summary: The cockroach can use the temporal dynamic of odor concentration to infer odor source distance and location, contradicting the previous belief that wind direction is the main directional cue. The olfactory system of cockroaches detects and processes both the succession of odor concentrations and the rates at which concentration changes, using a dual pathway that represents odor identity and concentration changes. This efficient representation is achieved through parallel processing and two types of gain control.
FRONTIERS IN PHYSIOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Vu Phi Tran, Matthew A. Garratt, Kathryn Kasmarik, Sreenatha G. Anavatti, Alex S. Leong, Mohammad Zamani
Summary: This paper presents a novel flocking control strategy for multi-robot exploration and gas field mapping, which includes an active sensing mechanism and a collaborative sequential Monte Carlo information fusion approach. The proposed strategy outperforms recent single-agent and centralized sequential Monte Carlo-based gas concentration mapping in terms of estimate accuracy, convergence time, and mapping error.
INFORMATION FUSION
(2023)
Article
Biology
Paul A. Moore, David Edwards, Ana Jurcak-Detter, Sara Lahman
Summary: The spatial aspects of orientation (turning and heading angles) in crayfish are controlled by the temporal aspects of odor cues, as shown in the study.
JOURNAL OF EXPERIMENTAL BIOLOGY
(2021)
Article
Chemistry, Analytical
Hongchao Deng, Yuji Sukekawa, Hidefumi Mitsuno, Ryohei Kanzaki, Takamichi Nakamoto
Summary: In this paper, we proposed an odor biosensor that can actively track the temporally changing gas-phase odor mixture using an array of cells expressing olfactory receptors (ORs). The biosensor function was validated by tracking variable single-component odorant or binary odor mixture. The influence from sensor drift was overcome by comparing the adjacent unknown and known odor responses. For odor mixture quantification, the pre-label method was more efficient, while the label-free method was still capable even if the OR odor had cross-sensitivity.
ANALYTICAL CHEMISTRY
(2023)
Article
Chemistry, Analytical
Zhiyu Xia, Zhengyi Xu, Dan Li, Jianming Wei
Summary: This study proposes a novel method, Outlier Mutation Optimization (OMO) algorithm, for tracking the source of chemical gas leakage. The OMO algorithm demonstrates high calculation accuracy and efficiency, making it a practical and effective solution for chemical industrial parks in responding to gas leakage accidents.
Article
Environmental Sciences
Yujing Wang, Hua Zhang, Haihua Zhang, Xinyue Kang, Xiangyu Xu, Ruiheng Wang, Huihuang Zou, Wenwen Chen, Duo Pan, Fan Lu, Pinjing He
Summary: This study aimed to investigate the characteristics of odorants, hazardous pollutants, and greenhouse gas emissions in flare exhaust from municipal solid waste landfills. The results showed that the combustion of flare exhaust significantly reduced odorants and their activity levels, but the odor concentration could still exceed 2,000. Oxygenated volatile organic compounds (OVOCs) were found to dominate the odorants in the flare exhaust, and the major odor contributors were OVOCs and sulfur compounds. Hazardous pollutants, including carcinogens and acute toxic pollutants, as well as greenhouse gases, were emitted from the flares. The combustion efficiency of the flares varied depending on landfill gas composition and flare design, and the pollutant removal efficiency could be lower than 90%, especially for diffusion flares. Acetaldehyde, benzene, toluene, p-cymene, limonene, hydrogen sulfide, and methane were identified as priority monitoring pollutants for flare emissions in landfills. Flares are useful for odor and greenhouse gas control, but they can also be potential sources of odor, hazardous pollutants, and greenhouse gases.
Article
Acoustics
Gianmarco Battista, Gert Herold, Ennes Sarradj, Paolo Castellini, Paolo Chiariotti
Summary: This paper examines the issues and benefits of using planar microphone arrays in acoustic source identification methods. Two inverse methods based on IRLS and BR are proposed to produce accurate volumetric acoustic maps. The methods are applied and compared with the CLEAN-SC approach in simulated and experimental test cases to demonstrate their performance.
Article
Environmental Sciences
Zhipeng Pei, Ge Han, Huiqin Mao, Cuihong Chen, Tianqi Shi, Keyi Yang, Xin Ma, Wei Gong
Summary: The matched filter (MF) method is widely used for hyperspectral imaging spectrometers to detect and quantify methane point sources efficiently. However, it results in underestimation, especially for large concentration enhancements. This study proposes the iterative lognormal matched filter (ILMF) method to address these challenges and provides unbiased and robust quantification of methane emissions.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Neurosciences
Harrison Tuckman, Mainak Patel, Hong Lei
Summary: The study reveals that neurons in the moth's antennal lobe exhibit different characteristics in perceiving odor stimuli, with neurons receiving olfactory input adept at encoding the temporal length of pulses, while neurons receiving mechanosensory input are more efficient at tracking the dynamic temporal information of pulse delivery. This suggests a possible functional division within the antennal lobe, where neurons with strong olfactory input exhibit prolonged spiking responses for detailed discrimination of odor features, while neurons with mechanosensory input primarily resolve the temporal dynamics of brief, pulsatile odor encounters.
FRONTIERS IN NEUROSCIENCE
(2021)
Article
Environmental Sciences
S. L. Trabue, B. J. Kerr, K. D. Scoggin, D. Andersen, M. van Weelden
Summary: The study investigated the impact of different dietary protein sources on manure slurry chemical properties and gas emissions in pigs. Results showed that the source of dietary protein had significant effects on pH, total solids, total C, protein N, and total S in manure slurry, as well as differences in gas emissions such as sulfide levels and ammonia emissions.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Chemistry, Analytical
Daigo Terutsuki, Tomoya Uchida, Chihiro Fukui, Yuji Sukekawa, Yuki Okamoto, Ryohei Kanzaki
Summary: In this study, a fully autonomous small drone with a portable electroantennogram (EAG) based on silkmoth antennae was developed for real-time odorant concentration detection. Enhanced sensor directivity enabled the drone to recognize odor source locations without a wind direction sensor. This study proposes an efficient flight platform for detecting odorant molecules and localizing their sources.
SENSORS AND ACTUATORS B-CHEMICAL
(2021)
Article
Chemistry, Analytical
Duc-Nhat Luong, Daisuke Kurabayashi
Summary: Odor source localization (OSL) robots are essential in ensuring the safety of rescue teams exposed to hazardous chemical plumes. This study addresses the challenges of constructing odor dispersion models and dynamically modifying robot behavior for efficient source detection. By simplifying the environment and utilizing different algorithms, the proposed framework improves success rates and reduces search time. Experiments with an autonomous mobile robot demonstrate its effectiveness, achieving a 3.5 times increase in success rate and a 35% reduction in average moving steps.
Article
Computer Science, Artificial Intelligence
Zhenyu Guo, Jie Yuan, Shengshan Ma, Zhonghua Li, Qiong Wu
Summary: Leakage and emission accidents pose a serious threat to health and safety. To improve the localization of the source, a new strategy inspired by the salps in the ocean is proposed. This strategy dynamically updates the plume information distribution using a mutation random salp swarm algorithm and a Dirichlet process Gaussian mixture model. Experimental results show that this strategy significantly improves the source localization success rate and efficiency.
NEURAL PROCESSING LETTERS
(2023)
Article
Chemistry, Analytical
Marshall Staples, Chris Hugenholtz, Alex Serrano-Ramirez, Thomas E. Barchyn, Mozhou Gao
Summary: This study compared the performance and limitations of two autonomous multiple odor source localization algorithms (Independent Posteriors and Dempster-Shafer). The results showed that the Independent Posteriors algorithm outperformed the DS theory algorithm in accurately determining source locations, while the DS theory algorithm exhibited errors in attributing emissions to non-source locations. Therefore, the Independent Posteriors algorithm offers a more suitable approach for solving the MOSL problem in environments with turbulent fluid flow.
Article
Chemistry, Analytical
Hanako Ishida, Ryuichi Takemura, Tatsuki Mitsuishi, Haruka Matsukura, Hiroshi Ishida
Article
Chemistry, Analytical
Ryohei Sato, Kento Tanaka, Hanako Ishida, Saki Koguchi, Jane Pauline Ramos Ramirez, Haruka Matsukura, Hiroshi Ishida
Review
Engineering, Electrical & Electronic
Tao Jing, Qing-Hao Meng, Hiroshi Ishida
Summary: This paper reviews the recent progress and development trends in the field of robot odor source localization, discussing research works grouped into four categories based on method principles. The paper also examines predictions of odor source direction and distance through in situ sensing and development of simulators, highlighting future outlooks for the field's flourishing.
IEEJ TRANSACTIONS ON ELECTRICAL AND ELECTRONIC ENGINEERING
(2021)
Proceedings Paper
Robotics
Nicolas P. Winkler, Oleksandr Kotlyar, Erik Schaffernicht, Han Fan, Haruka Matsukura, Hiroshi Ishida, Patrick P. Neumann, Achim J. Lilienthal
Summary: Gas distribution mapping aims to accurately map gas concentration levels in hazardous environments. This paper investigates sequential deep learning models that use multiple time step inputs from a sensor network to map the gas distribution. The proposed hybrid convolutional LSTM - transpose convolutional structure outperforms a non-sequential neural network model in learning the spatial and temporal correlation of gas plume patterns.
ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 2
(2023)
Proceedings Paper
Robotics
Takumi Haratsu, Motoki Sakaue, Haruka Matsukura, Patrick P. Neumann, Hiroshi Ishida
Summary: This paper presents the use of a gas dispersion simulator that introduces large wind fluctuations into simulations. The simulator enables testing of a modification to a gas source localization algorithm in a realistic scenario. The study shows that using simulation with necessary traits can accelerate the development of a reliable localization system.
ROBOT2022: FIFTH IBERIAN ROBOTICS CONFERENCE: ADVANCES IN ROBOTICS, VOL 2
(2023)
Proceedings Paper
Chemistry, Analytical
Nicolas P. Winkler, Haruka Matsukura, Patrick P. Neumann, Erik Schaffernicht, Hiroshi Ishida, Achim J. Lilienthal
Summary: Gas distribution mapping is crucial for understanding gas concentration levels in hazardous environments. Using a convolutional encoder-decoder neural network, this research successfully interpolated the gas distribution between sparsely distributed sensors, outperforming simpler interpolation techniques.
2022 IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE (ISOEN 2022)
(2022)
Proceedings Paper
Chemistry, Analytical
Motoki Sakaue, Yusuke Takahashi, Haruka Matsukura, Hiroshi Ishida
Summary: This paper presents a gas dispersion simulator that can be utilized for the development and evaluation of robotic systems for gas leak detection and gas source localization. The main contribution is a wind field generator capable of reproducing highly fluctuating wind conditions encountered in outdoor environments. Simulations of gas source localization can be performed using artificially generated wind data that match the statistical properties of natural wind. The effectiveness of the proposed wind generator is demonstrated by comparing simulation results with those obtained using real wind data.
2022 IEEE INTERNATIONAL SYMPOSIUM ON OLFACTION AND ELECTRONIC NOSE (ISOEN 2022)
(2022)
Proceedings Paper
Computer Science, Cybernetics
Jas Brooks, Pedro Lopes, Judith Amores, Emanuela Maggioni, Haruka Matsukura, Marianna Obrist, Roshan Lalintha Peiris, Nimesha Ranasinghe
Summary: Daily experiences such as smell, taste, and temperature play a crucial role in our safety, well-being, and enjoyment, but are often neglected in contemporary technology which primarily focuses on vision and hearing. The growth of virtual reality and wearable devices has brought renewed attention to interfaces related to smell, taste, and temperature in the field of Human Computer Interaction.
EXTENDED ABSTRACTS OF THE 2021 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'21)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Kento Honda, Haruka Matsukura, Daisuke Iwai, Hiroshi Ishida, Kosuke Sato
Summary: This paper introduces a human olfactory interface for modulating and selectively sniffing airborne odors, but the preliminary evaluation did not show the expected performance. Further investigation and quantitative measurement will be needed for future work.
HUMAN-COMPUTER INTERACTION, INTERACT 2021, PT V
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Tomoki Uno, Maki Sawano, Haruka Matsukura, Hiroshi Ishida
Article
Computer Science, Information Systems
Yushi Sato, Takefumi Hiraki, Naruki Tanabe, Haruka Matsukura, Daisuke Iwai, Kosuke Sato
