TY - CONF A1 - Neumann, Patrick P. T1 - Aerial Robot Olfaction - A Summary and Survey from BAM Perspective N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization and gas distribution mapping. T2 - Harvard University School of Engineering and Applied Sciences (SEAS)/Earth and Planetary Sciences (EPS) - Martin Group Seminar CY - Online meeting DA - 11.06.2020 KW - Mobile Robot Olfaction KW - Localization of gas sources KW - UAV KW - Tomographic reconstruction of gas plumes KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) PY - 2020 AN - OPUS4-50916 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. T1 - Gassensitive Flugroboter der BAM T1 - Aerial robot olfaction @ BAM N2 - Der Vortrag gibt Beispiele dafür, wie Drohnen sinnvoll im zivilen Bereich eingesetzt werden können. Insbesondere werden die Lokalisierung von Gasemissionsquellen und die Erstellung von Gasverteilungskarten vorgestellt. T2 - InnoTesting2020 „Innovative Ideen - neue Testmethoden” CY - Wildau, Berlin, Germany DA - 27.02.2020 KW - Mobile Robot Olfaction KW - Erstellung von Gasverteilungskarten KW - Lokalisierung von Gasemissionsquellen KW - UAV / UAS PY - 2020 AN - OPUS4-50476 LA - mul AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Neumann, Patrick P. A1 - Hirschberger, Paul A1 - Bartholmai, Matthias ED - Zemčík, R. ED - Krystek, J. T1 - Influence of rotor downwash on vertically displaced nanobots in flight N2 - One challenge associated with navigating a nano aerial robot swarm indoors in unstructured environments is, i.a., the limited air space. To avoid an over-regulation of the available indoor air space (e.g., prohibit copters to fly above each other), a safety region around each copter must be defined. In this paper, we investigate the impact of the downwash of a nano-drone on the stability of another nearby nano-drone. In the experiments, we found out that this downwash has a negative influence of a second nano-drone in a distance of around 1 m vertically and 0.2 m horizontally. Based on the obtained data, we developed a model describing the above-mentioned safety region to enable a safe operation of the swarm in these environments with fewer constraints. T2 - 36th Danubia-Adria Symposium on Advances in Experimental Mechanics CY - Pilsen, Czech Republic DA - 24.09.2019 KW - Mobile Robot Olfaction KW - Nano aerial robot KW - Swarm KW - Collision-free navigation KW - Safety region model PY - 2020 DO - https://doi.org/10.1016/j.matpr.2020.03.047 VL - 32 IS - 2 SP - 108 EP - 111 PB - Elsevier Ltd. CY - Amsterdam AN - OPUS4-50673 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Winkler, Nicolas P. T1 - Mapping the Distribution of Air Pollutants with Mobile Robots and Stationary Sensors N2 - Precise knowledge about the distribution of air pollutants is necessary to develop plausible occupational health measures. Combinatory systems, consisting of mobile robots and stationary sensors, can be effective solutions for the coverage of large measurement areas. However, further research is needed to fully understand their performance in comparison to traditional sensing strategies. Therefore, multiple sensor networks layouts will be set up in a simulation environment as well as in real industrial environments. Models for distribution mapping will be developed and evaluated to investigate the performance and opportunities of hybrid-mobility sensor networks for the task of distribution mapping. T2 - AASS Seminar CY - Online meeting DA - 24.09.2020 KW - Mobile Robot Olfaction KW - Aerial Robot Olfaction KW - Wireless Sensor Network KW - Occupational Health PY - 2020 AN - OPUS4-51399 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Winkler, Nicolas P. T1 - Breaking the wall of air pollution monitoring N2 - Air pollution in industrial environments is a major risk. Precise knowledge about the distribution of air pollutants is necessary to develop plausible occupational health measures. Combinatory systems, consisting of mobile robots and stationary sensors, can be effective solutions for the coverage of large measurement areas. T2 - Falling Walls Adlershof CY - Online meeting DA - 02.10.2020 KW - Mobile Robot Olfaction KW - Aerial Robot Olfaction KW - Occupational Health KW - Wireless Sensor Network PY - 2020 AN - OPUS4-51400 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. T1 - Aerial Robot Olfaction @BAM N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM. T2 - Workshop - behördlicher Erfahrungsaustausch im Bereich Drohne (BAM/THW) CY - Berlin, Germany DA - 13.09.2021 KW - Mobile Robot Olfaction KW - Tomographic reconstruction of gas plumes KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - UAV PY - 2021 AN - OPUS4-53413 LA - deu AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. T1 - Aerial Robot Olfaction - An Overview of Research @BAM N2 - This presentation gives an introduction to the gas-sensitive aerial robots developed at BAM, including various application examples in the field of mobile robot olfaction: gas source localization, gas distribution mapping, and trial following. T2 - The 6th Meeting of the Investigation Committee on Measurement of Odors and Applications of Their Psychological/Physiological Effects CY - Online meeting DA - 21.01.2022 KW - Mobile Robot Olfaction KW - Gas Tomography KW - Tunable Diode Laser Absorption Spectroscopy (TDLAS) KW - Gas Source Localization KW - Gas Distribution Mapping KW - Trial Following PY - 2022 AN - OPUS4-54241 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Winkler, Nicolas P. T1 - Robot-Assisted Air Quality Monitoring N2 - This presentation gives an introduction to robot-assisted air quality monitoring based and shows results of the research project RASEM. T2 - The 6th Meeting of the Investigation Committee on Measurement of Odors and Applications of Their Psychological/Physiological Effects CY - Online meeting DA - 21.01.2022 KW - Environmental Monitoring KW - Air Pollution KW - Air Quality KW - Wireless Sensor Network KW - Mobile Robot Olfaction PY - 2022 AN - OPUS4-54251 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Winkler, Nicolas P. T1 - RASEM - Robot-Assisted Environmental Monitoring for Air Quality Assessment N2 - This presentation was held at the SAF€RA symposium and gives an overview to the research project RASEM and its results. T2 - 2022 SAF€RA Symposium CY - Rome, Italy DA - 19.05.2022 KW - Air Pollution KW - Air Quality KW - Environmental Monitoring KW - Mobile Robot Olfaction KW - Wireless Sensor Network PY - 2022 AN - OPUS4-54953 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Neumann, Patrick P. T1 - Inspired by Computed Tomography – Swarm-based Gas Tomography N2 - This talk gives an introduction to Mobile Robot Olfaction (MRO) and Robot-assisted Gas Tomography within the scope of the Idea-Workshop "Inspired by Science" @Startup Incubator Berlin. T2 - Inspired by Science: Idea-Workshop CY - Berlin, Germany DA - 13.02.2023 KW - Aerial robot KW - Gas tomography KW - Mobile Robot Olfaction PY - 2023 AN - OPUS4-56993 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Haratsu, T. A1 - Neumann, Patrick P. T1 - Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind N2 - This presentation reports the use of the first gas dispersion simulator capable of generating large wind fluctuation, to test a modification to a gas source localization algorithm and study how the change affects it. Gas source localization at an outdoor environment is a challenging task mainly due to the complexity of the spreading gas caused by the unpredictable nature of constantly changing wind. Therefore, a novel use of outdoor wind in developing a gas source localization system by simulation will be shared. To consider the characteristic of sudden but large and unpredictable changes in wind direction, recorded outdoor wind was used to simulate a realistic outdoor gas dispersion which has been done for the first time. With the use of this simulator, a modification to a mobile robot-based gas source localization algorithm was evaluated. Multiple simulations of the modified and the original algorithm were done to study the effect of the tested modification. The results showed that a small difference in the algorithm can greatly impact the results. From this study, we consider the use of simulation consisting of the necessary traits to evaluate outdoor gas source localization, has the potential to accelerate the development of a reliable localization system. T2 - ROBOT2022: Fifth Iberian Robotics Conference CY - Zaragoza, Spain DA - 23.11.2022 KW - Gas Dispersion Simulator KW - Gas Source Localization KW - Mobile Robot Olfaction KW - Particle Filter PY - 2022 AN - OPUS4-56413 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - CONF A1 - Haratsu, T. A1 - Sakaue, M. A1 - Matsukura, H. A1 - Neumann, Patrick P. A1 - Ishida, H. ED - Tardioli, D. ED - Matellán, V. ED - Heredia, G. ED - Silva, M. F. ED - Marques, L. T1 - Simulating a Gas Source Localization Algorithm with Gas Dispersion Produced by Recorded Outdoor Wind N2 - This paper reports the use of the first gas dispersion simulator capable of introducing large wind fluctuations into simulations. The proposed simulator enables testing of a modification made to a gas source localization algorithm in a realistic scenario in order to study how the change affects it. Gas source localization in an outdoor environment is a challenging task mainly due to the complexity of the gas spread caused by the unpredictable nature of constantly changing wind. Therefore, a novel use of outdoor wind in developing a gas source localization system by simulation is presented in this paper. To consider the characteristic of sudden but large and unpredictable changes in wind direction, we propose to use recorded outdoor wind to simulate a realistic outdoor gas dispersion which has been done for the first time to the best of our knowledge. With the use of this simulator, we have tested a modification to a mobile robot-based gas source localization algorithm. Multiple simulations of the modified and the original particle filter-based algorithm have been done to study the effect of the tested modification. The results showed that a small difference in the algorithm can greatly impact the results. From this study, we show that the use of simulation consisting of the necessary traits to evaluate outdoor gas source localization, has the potential to accelerate the development of a reliable localization system. T2 - ROBOT2022: Fifth Iberian Robotics Conference CY - Zaragoza, Spain DA - 23.11.2022 KW - Gas Dispersion Simulator KW - Gas Source Localization KW - Mobile Robot Olfaction KW - Particle Filter PY - 2023 SN - 978-3-031-21061-7 DO - https://doi.org/10.1007/978-3-031-21062-4_9 SP - 105 EP - 116 PB - Springer AN - OPUS4-56416 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER - TY - JOUR A1 - Shigaki, Shunsuke A1 - Gillen, John Greg A1 - Neumann, Patrick P. A1 - Shiota, Yusuke A1 - Kurabayashi, Daisuke T1 - Special issue on robot olfaction N2 - Although the olfaction is considered a primitive sense, it plays many important roles. We can detect the smell of burning stuff, which is a precursor to fire, and the smell of rotting food, which can be used to detect danger in advance. In the medical field, halitosis and body odor can be used to diagnose diseases. Although smells are utilized in various situations, even in this age of artificial intelligence, we still rely on organisms' olfaction. In addition to the fact that some odors are harmful to living organisms, problems of habituation and saturation exist in the organisms' olfaction. To achieve odor-based estimation or spatial cognition and so on, there is an urgent need to artificialize olfaction and implement it in robots. Therefore, this special issue focuses on "Robot Olfaction," which aims to implement olfaction in robots. A wide range of fields are involved in the establishment of robot olfaction, including chemical detection, artificial nasal cavity design, and odor learning and recognition. KW - Mobile Robot Olfaction PY - 2025 DO - https://doi.org/10.1080/01691864.2025.2502186 SN - 0169-1864 VL - 39 IS - 9 SP - 471 EP - 471 PB - Informa UK Limited AN - OPUS4-63598 LA - eng AD - Bundesanstalt fuer Materialforschung und -pruefung (BAM), Berlin, Germany ER -