1. Odor Tracking with An Electronic Nose May 5, 2003 Jason Hamor Greg Allbee Ninh Dang Simon Saugier

2. Project Background Study the response of odor sensor Research now is focused on putting E-nose on mobile robot Robot movements depend on E-nose sensing

3. Objectives and Deliverables To simulate an odor tracking robot in LabView To create dispersion model Integrate the robot simulator, dispersion model with the existing Dilution system

4. Design Model

5. LabView Interface Robot Control Room Control Odor Source Control Sensor Charts Simulation Picture

6. LabView Interface Screen Shots

7. LabView Diagram Screenshot

8. Odor Tracking Algorithm Four-Phase Algorithm: Set/Clear Variables First Step 8-point Circle Track Gradients Momentum and direction based on weighted average of history and max point.

9. Diffusion Model Gaussian Dispersion model Single source and Multiple sources

10. Diffusion Model Screenshots

11. E-nose Integration Testing Response of sensors Series vs. Parallel connection Optimize Gaussian model

12. Difficulties Encountered E-nose is not accurate E-nose is not precise Sensors heat up Sensors lag in response

13. Dynamic Odor Delivery System (Existing Dilution System)

14. Working System Graphics

15. System Graphics (Cont)