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Putting the Turing into Manufacturing: Algorithmic Automation and Recent Developments in Feeding and Fixturing Ken Goldberg, UC Berkeley
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The Turing Machine, 1936 Precise vocabulary: 0, 1 Class of primitive operations: Read, Write, Shift Left, Shift Right Well Formed Sequences Correctness, Completeness Equivalence, Complexity
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Algorithmic Automation: Define Admissible Inputs Define Admissible Operations Output: all solutions or negative report Complexity as function of input size
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Two Examples Part Feeding Part Fixturing and Holding
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Putting the Turing into Manufacturing Automation Algorithmic Part Feeding –2D Polygonal Parts –3D Polyhedral Parts –Traps –Blades Algorithmic Fixturing –Modular Fixtures –Unilateral Fixtures –D-Space and Deform Closure Related Work and Open Problems
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Solution: Kinematically Yielding Gripper ( US Patent 5,098,145)
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Example: resulting 3-step plan
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Theorem (Completeness): A sensorless plan exists for any polygonal part. Theorem (Correctness): The algorithm will always find the shortest plan. Theorem (Complexity): For a polygon of n sides, the algorithm runs in time O(n 2 ) and finds plans of length O(n). Extensions: Stochastically Optimal Plans Extension to Non-Zero Friction Geometric Eccentricity and constant time result (van der Stappen) Pulling with point jaws inside concavities, Sorting with wedges
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1770: Interchangeable Parts 1910: Assembly Lines 2030: Algorithmic Automation
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