Gas Source Tracing With a Mobile Robot Using an Adapted Moth - - PowerPoint PPT Presentation

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Gas Source Tracing With a Mobile Robot Using an Adapted Moth - - PowerPoint PPT Presentation

Gas Source Tracing With a Mobile Robot Using an Adapted Moth Strategy Achim Lilienthal, Denis Reimann, Andreas Zell University of Tbingen, WSI Contents 1) Gas Source Tracing Strategy of Bombyx mori 2) Gas-Sensitive Robot 3) Adapted


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Gas Source Tracing With a Mobile Robot Using an Adapted Moth Strategy

Achim Lilienthal, Denis Reimann, Andreas Zell University of Tübingen, WSI

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2 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Contents

1) Gas Source Tracing Strategy of Bombyx mori 2) Gas-Sensitive Robot 3) Adapted Gas Source Tracing Strategy 4) Experimental Setup 5) Results 6) Summary & Outlook

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3 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Gas Source Tracing of Bombyx mori

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Fixed Movement Pattern

triggered by increased pheromone concentrations surge towards upwind direction

Kanzaki 1998

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4 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Gas Source Tracing of Bombyx mori

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Fixed Movement Pattern

implement a local search for the next patch

Kanzaki 1998

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5 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Gas Source Tracing of Bombyx mori

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“Remarkably, the movement tracks that many species produce when tracking odour plumes have a very similar side-to-side zigzag shape whether walking, swimming, or flying.” [Mark Willis]

Kanzaki 1998

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6 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Experimental Setup - RoboMoth

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“Arthur” (ATRV-Jr.)

footprint = 80 x 65 cm height = 55 cm

Sensors Used

  • dometry

laser range scanner

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7 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Experimental Setup - RoboMoth

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Gas Sensitive System

based on VOC-Vario using two TGS 2620

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8 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Adapted Gas Source Tracing Strategy

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Wind Direction not Known Exploit Relative Sensor Response

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9 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Adapted Gas Source Tracing Strategy

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Adapt Threshold (Compensate Slow Response/Recovery)

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10 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

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How to Calculate x ?

differences between individual sensors different environmental conditions increasing base level of concentration

xt = Rt − Rmin,t Rmax,t − Rmin,t

Data Preprocessing

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11 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

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Update Minimum and Maximum Dynamically

trimming by 1% every 30 s

Data Preprocessing

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12 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Experimental Setup - Environment

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Office Environment

natural indoor environment (to some extent)

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13 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Active Source Present

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14 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Active Source Present

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15 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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No Active Source Present

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16 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Statistics (595 min)

average distance median distance active source, all

(225.6 ± 179.6) cm 266.2 cm

inactive source

(317.7 ± 235.2) cm 336.8 cm

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17 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Statistics

after 1. trigger

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18 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Statistics (595 min)

active source, after first trigger average distance median distance active source, all

(225.6 ± 179.6) cm 266.2 cm

inactive source

(195.5 ± 119.8) cm (317.7 ± 235.2) cm 170.9 cm 336.8 cm

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19 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

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Statistics (595 min)

active source, after first trigger average distance median distance active source, all

(225.6 ± 179.6) cm pH0 = 0.433

inactive source

(195.5 ± 119.8) cm (317.7 ± 235.2) cm pH0 = 0.173

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20 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Results

5

Statistics (595 min)

active source, after first trigger average distance median distance active source, all

pH0 = 0.167 266.2 cm

inactive source

pH0 = 0.167 170.9 cm 336.8 cm

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21 Achim Lilienthal (Universität Tübingen, WSI-RA, Prof. Andreas Zell)

Summary & Outlook

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Adapted Biomimetic Strategy (Bombyx mori)

local search (fixed motion pattern) triggering mechanism

Suitability for Indoor Gas Source Tracing

good evidence

More Experiments needed Larger Environment

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Gas Source Tracing With a Mobile Robot Using an Adapted Moth Strategy

Achim Lilienthal, Denis Reimann, Andreas Zell

Thank you!