Safety Sensors

1. Safety Sensors (IR and ultrasonic compression)

2. Concerns about sensors • Price • Range • Coverage • time • Temperature sensitivity

3. Design Vs. Buy OTS • Design our own • Advantage • low cost • Design to spec • Disadvantage • Time • Not appealing • Buy OTS sensors • Advantages • less time • Easy to manufacture • appealing • Disadvantages • costly

4. Additional Accessories -addition to safety -addition to wow factor

5. Status lights + Auto lighting • Status lights • Auto lighting

6. Status lights • Individual color LEDs indicate the operational status of the robot • Example of an LED driver (analog.com)

7. Auto-Lighting • By using ambient light transducers, or photoresistor, lighting around the robot can be turned on/off autonomously Ambient light detector (microsemi.com) Picture of a photo-resistor and circuit Light detector with built-in signal processing circuit for light modulation system

8. The Intelligent Algorithm Speaker: James Harris

9. Overview • Introduction • Initial Thoughts • Pathfinding Process • Types • Optimization • Conclusion

10. Initial Thoughts • Ant Foraging • Bacterial Foraging • Particle Swarm Optimization • Pathfinding Algorithm • Binary Tree

11. Background

12. Types • Dijkstra’s Algorithm • Best First-Search • A* Algorithm

13. Dijkstra’s Algorithm

14. PROS Finds a shortest path Guaranteed to work CONS Simplest case Inefficient in amount of work Dijkstra’s Algorithm

15. Best First Search

16. PROS Efficient amount of work Fast CONS Greedy: uses a heuristic to guide itself Best First Search

17. A* Algorithm

18. A* Algorithm • Most popular • Favors vertices that are close to the starting point (DA) and the goal (BFS) • Faster and more efficient

19. Optimization Techniques • Different score function • Genetic Algorithms • Neural Networks • Learning

20. Summary • Introduction • Pathfinding Background • Pathfinding Process • Types • Optimization • Conclusion

21. Questions

22. The Competition Speaker: James Harris

23. Overview • Introduction • Segway RMP 400 • Raymond Model 102XM • Seekur • PowerBot • Conclusion

24. Segway RMP 400: Specifications • Speed: 6.67 m/s • Weight: 109kg • Dimensions: 76x112x61 cm • Payload: 181kg

25. Pros All-terrain Looks cool Autonomous Can attach multiple RPs together Stable Operation Can add sensing devices Cons No bumpers Cannot hold objects Segway RMP 400

26. Raymond Model 102XM: Specifications • Payload: 2042kg • Incline: 60% grade • Speed: 1.7m/s • Weight: 272kg

27. Pros Pavement Powerful Hand Controls Stable Programmable Cons User-dependent Huge Large turn radius Expensive Little wow factor Raymond Model 102XM:

28. Seekur & PowerBot

29. Competitive Specifications

30. Competitive Specifications (cont.)

31. Competitive Specifications (cont.)

32. Competitive Specifications (cont.)

33. Competitive Specifications (cont.)

34. Competitive Specifications (cont.)

35. Competitive Specifications (cont.)

36. Competitive Specifications (cont.)

37. Competitive Specifications (cont.)

38. Competitive Specifications (cont.)

39. Competitive Specifications (cont.)

40. Competitive Specifications (cont.)

41. Review • Segway RMP 400 • Raymond Model 102XM • Seekur • PowerBot

42. Questions