Sensing Odour Sources in Indoor Environments Without a Constant Airflow by a Mobile Robot

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Sensing Odour Sources in Indoor Environments Without a Constant Airflow by a Mobile Robot Achim Lilienthal University of Tübingen WSI Computer Science Dept. http://www-ra.informatik.uni-tuebingen.de

Contents 1. Defining the Goal: An Electronic Watchman 2. Hardware Setup electronic nose the robot 3. Experimental Setup 4. Conclusion 5. Outlook Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 2

1. An Electronic Watchman Required Ability detection of gases Desired Abilities localization of the gas source identification of the odour Environment unmodified indoor environment Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 3

1. An Electronic Watchman Detection drift of parameters in particular: varying air flows sufficient intensity? Localization detection of chemical concentration gradients? Identification sufficient intensity? Optimizing the system mounting the sensors performing the measurement Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 4

2. Hardware Setup, Electronic Nose VOCmeter Vario commercially available lightweight, small low power consumption operates up to 8 sensors gathers readings with 4 Hz RS-232 interface Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 5

2. Hardware Setup, Electronic Nose Sensor Sticks thin, flexible cable small, easy to mount MOX, QMB available Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 6

2. Hardware Setup, ARTHUR Based on "ATRV-Jr" (RWI) skid steering 2x Pentium II, 333 MHz wireless LAN (BreezeCOM) sonar sensors Additional Sensors laser scanner (SICK) CCD cameras Electronic Nose 75 cm sensors: MOX at an outstanding rotatable bar at fixed positions Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 7

3. Experimental Setup, No Ventilation Experimental Conditions no ventilation no people passing by Odour Source ethanol placed at the end of the corridor different intensities: 130 cm 2, 60 cm 2, 20 cm 2 Driving Modes stop-measure-and-go constant velocity Gas Sensors mounted on the stiff extension Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 8

3. Experimental Setup, No Ventilation Ethanol Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 9

3. Experimental Setup, Weakly Ventilated Environment Experimental Conditions weak ventilation few people passing by Odour Source low intensity (20 cm 2 ) placed in the middle of the corridor ethanol, aceton Driving Mode stop-measure-and-go constant velocity Gas Sensors mounted on the stiff extension Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 10

3. Experimental Setup, Weakly Ventilated Environment Aceton Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 11

4. Results Detection low intensities distance: several meters unventilated or weakly ventilated rooms with weak personal traffic Driving Mode constant speed, not too slow stop-measure-and-go strategy not suitable Localization seems to be possible Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 12

5. Outlook, Localization Strategy 2D -Experiments passing by the odour source Localization detecting the maximum return to the detected the position turn 90 detecting the maximum Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 13

5. Outlook Localization Strategy implementation Investigate the "Moving Effect" Improving the Setup pumped cell (trunk) Identification using sensor array: MOX and QMB Environment outdoor conditions Achim Lilienthal, University of Tübingen, WSI Computer Science Dept. 14

Sensing Odour Sources in Indoor Environments Without a Constant Airflow by a Mobile Robot Achim Lilienthal, Andreas Zell University of Tübingen WSI of Computer Science http://www-ra.informatik.uni-tuebingen.de Michael Wandel, Udo Weimar University of Tübingen Institute of Physical Chemistry http://www.ipc.uni-tuebingen.de/weimar