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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 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
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/
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.
CI – Heuristics & Reasoning • Picture given • Assume end point is reachable within constraints • Start with simple points • Use reasoning to decide next move
CI – Heuristics & Reasoning • Continue process • How did we do? • Is there a better solution?
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
Hybrid Intelligence • Combining AI & CI allows for optimization • Pattern recognition • Priority searches • Weighted graphs • Multiple node maps
Wunderbot IV Autonomous Vehicle Our website: www.etown.edu/wunderbot