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Wunderbot IV

Wunderbot IV. Autonomous Vehicle. Machine Intelligence. David Coleman. Conventional AI. What is Machine Intelligence?. Computational Intelligence Pattern Recognition Heuristics Reasoning. Machine Learning Techniques Environmental Mapping Case Statements Statistical Analysis.

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Wunderbot IV

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  1. Wunderbot IV Autonomous Vehicle Machine Intelligence David Coleman

  2. Conventional AI What is Machine Intelligence? • Computational Intelligence • Pattern Recognition • Heuristics • Reasoning • Machine Learning Techniques • Environmental Mapping • Case Statements • Statistical Analysis

  3. AI - Environmental Mapping • Way Points • Pre-Determined Paths • No “On the Fly” Calculations • If POINT_A -> POINT_B then //Use Path #1 Map: http://www.cs.columbia.edu/~pblaer/projects/path_planner/

  4. CI – Heuristics & Reasoning • How do you go from point_A -> point_B without knowing what exists between the two points? • Heuristics![1] • Draw a picture • Assume a solution exists and work backwards • Start simple with a generic case [1] Polya, George. How to Solve It. Reissue ed. Princeton Univ Pr, 1982.

  5. CI – Heuristics & Reasoning • Picture given • Assume end point is reachable within constraints • Start with simple points • Use reasoning to decide next move

  6. CI – Heuristics & Reasoning • Continue process • How did we do? • Is there a better solution?

  7. Some things to keep in mind! • Remember previous obstacles • Develop a complete map of environment • Must be “On the Fly” programming • Parameters • Dimensions of the robot • Speed/Time

  8. Hybrid Intelligence • Combining AI & CI allows for optimization • Pattern recognition • Priority searches • Weighted graphs • Multiple node maps

  9. Wunderbot IV Autonomous Vehicle Our website: www.etown.edu/wunderbot

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