On Two-Handed Planar Assembly Partitioning with Connectivity Constraints
Pankaj K. Agarwal, Boris Aronov, Tzvika Geft, Dan Halperin

TL;DR
This paper proves that the problem of two-handed planar assembly partitioning with connectivity constraints is NP-complete, and provides fixed-parameter tractable algorithms and special-case solutions for certain assembly types.
Contribution
It establishes NP-completeness of connected-assembly-partitioning, resolving a long-standing open question, and introduces algorithms for specific assembly configurations.
Findings
NP-completeness of connected-assembly-partitioning proven.
An FPT algorithm with complexity O(2^k n^2) for polygonal assemblies.
A linear-time algorithm for unit-grid square assemblies.
Abstract
Assembly planning is a fundamental problem in robotics and automation, which involves designing a sequence of motions to bring the separate constituent parts of a product into their final placement in the product. Assembly planning is naturally cast as a disassembly problem, giving rise to the assembly partitioning problem: Given a set of parts, find a subset , referred to as a subassembly, such that can be rigidly translated to infinity along a prescribed direction without colliding with . While assembly partitioning is efficiently solvable, it is further desirable for the parts of a subassembly to be easily held together. This motivates the problem that we study, called connected-assembly-partitioning, which additionally requires each of the two subassemblies, and , to be connected. We show that this problem is NP-complete, settling…
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Taxonomy
TopicsManufacturing Process and Optimization · Optimization and Search Problems · Modular Robots and Swarm Intelligence
