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Arman Barghi

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#artificial intelligence Open access Sep 2025

Dynamic Buffers: Cost-Efficient Planning for Tabletop Rearrangement With Stacking

The Dynamic Buffer framework enables robots to form and transport temporary stacks of objects as single units that reduces total manipulator travel, can improve operational throughput, can reduce energy consumption, and provides flexible buffering where workspace is tight.

Arman Barghi, Hamed Hosseini, Seraj Ghasemi et al. · 3 citations

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