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April 16, 2026Advanced Intelligent SystemsOpen Access

Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE (3)

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Authors

MAMichele AngeliniMCMarco Carricato

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Overview

Algorithm demonstrates effective packing of varied objects in boxes, suggesting improvements for e-commerce logistics.

Key Points

  • The aim is to develop an efficient algorithm for packing heterogeneous objects into a confined space.
  • Developed a heuristic-driven algorithm for bin packing problem.
  • Utilized point-cloud representation and signed-distance functions for item poses.
  • Ensured static stability using a mesh-based physics simulator.
  • Evaluated performance through simulations in various packing scenarios.
  • Successfully optimized object arrangements in confined spaces.
  • Demonstrated robust performance in both offline and online packing applications.
  • Achieved solutions in practical timeframes suitable for industrial use.

Cite This Study

Angelini et al. (2026) studied this question.

synapsesocial.com/papers/69e07cfa2f7e8953b7cbe094https://doi.org/10.1002/aisy.202501228
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 13D Box Packing with Heuristics and Metric Analytics2025
  2. 2Optimizing load balanced 3D-bin packing with product family: A multi-objective genetic algorithm2026
  3. 3Hybrid Evolutionary-Heuristic Framework for Multi-Objective 3D Container Loading Problem2026
  4. 4Online 3D Bin Packing with Fast Stability Validation and Stable Rearrangement Planning2025
  5. 5A greedy online 3D bin packing algorithm based on multi-indicator fusion2024 · 3 citations