1. GPSBot 08- “Rikki” An Introduction

2. Agenda The Team Motivation Objectives Enabling Processes Sub-Systems Time-Line Budget Obstacles Continuation Applications

3. The Team David Gitz –Senior in ECE Steve Warren –Senior in ECE Matthew Coleman –Senior in ECE

4. Motivation Our Team has a large interest in Robotics and Parallel Computing. One of our desires were to couple those interests together. Our Team also desired to promote a cheap and effective robotic application that would be able to navigate autonomously with a very high degree of precision.

5. Objectives Develop an autonomous vehicle platform that is capable of determining it’s position (using an Inertial Navigation Unit), following waypoint markers and monitoring internal vital statistics. Develop a user interface in LabView that will map the vehicle’s position onto an appropriate and user-friendly interface.

6. Enabling Processes Collaboration: Use systems already in place to promote effective and efficient collaboration. Design a work schedule to meet project deadlines and to accommodate Team. Portability: Design system by keeping in mind of already produced technologies, easing the build effort.

7. Platform RC Hummer H3 This vehicle was chosen because for its off-road capabilities, low cost, durability and availability.

8. Sensors Compass 3-Axis Accelerometer GPS Gyroscope These components are the hardware for the INU, So the vehicle will be able to determine it’s position to a very accurate degree.

9. Brain Propellor ControllerThe Propellor is 8 processors in one controller, able to multi- task operations. The programming environment is in SPIN, a C-like derivative that is very user and application friendly.

10. Power

11. Communications Zigbee Radio

12. Movement BaneBots Speed Controller

13. Interface

14. Timeline

15. Budget SystemQtyPrice Drive-Train1$77.00 Electronics40$467.20 Sensors4$204.85 Total:45$749.05 1 Development Unit (ea.) SystemQtyPrice Drive-Train1$77.00 Electronics39$332.20 Sensors4$204.85 Platform1$55.00 Total:44$669.05 5-10 Production Units (ea.)

16. Obstacles Parallel Computing Issues High-Order Calculations on a μ-Controller Digital Filtering Techniques

17. Continuation… System will be designed to produce efficiencies in a Multiple-Agent System (MAS). All sub-systems will be able to integrate into a MAS with little difficulty. All processes/technologies will be reproducible and efficient, providing cost- savings.

18. Applications Robotics Development Platform Search and Rescue Missions Multiple-Agent Systems