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GOPT: Gene...
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Arxiv

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Image Credit: Arxiv

GOPT: Generalizable Online 3D Bin Packing via Transformer-based Deep Reinforcement Learning

  • Researchers propose GOPT, a generalizable online 3D Bin Packing approach via Transformer-based deep reinforcement learning (DRL), for robotic object packing.
  • GOPT consists of a Placement Generator module and a Packing Transformer, enabling generalization across multiple environments with different bin dimensions.
  • Extensive experiments demonstrate that GOPT outperforms baselines and exhibits excellent generalization capabilities.
  • The practical applicability of GOPT is showcased through deployment with a robot.

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