Motion planning in the presence of movable obstacles
SCG '88 Proceedings of the fourth annual symposium on Computational geometry
Geometric tolerancing: 1. Virtual boundary requirements
IBM Journal of Research and Development
Geometric tolerancing: 2. conditional tolerances
IBM Journal of Research and Development
Geometric reasoning about mechanical assembly
Artificial Intelligence
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Assembly sequencing with toleranced parts
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Deformed distance fields for simulation of non-penetrating flexible bodies
Proceedings of the Eurographic workshop on Computer animation and simulation
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Probabilistic path planning techniques have proven to be vital for finding and validating solutions for difficult industrial assembly tasks. Nevertheless, the failure of a path planner to find a solution to a task does not suggest how to correct the error. We suggest a methodology to identify possible bottlenecks and present an algorithm to analyze the extent to which the design must be modified in order for the task to complete successfully. We validate our algorithm on two industrial problems involving design errors, and explain how to interpret the results in order to improve the design.