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

arXiv:2509.22828 · cs.RO, cs.AI · Submitted 2025-09-26 · Read on arXiv

cs.RO, cs.AI

Submitted: 2025-09-26

Updated: 2026-09-25

Code: https://github.com/armanbarghi/DBRP-Code

Terminology

• Core — 6× in this paper · explained in 2 episodes
• Mobile Base — 3× in this paper
• Monte Carlo Tree Search — 3× in this paper
• Accuracy — 2× in this paper · explained in 1 episode
• Embodied AI — 2× in this paper · explained in 2 episodes
• IEEE International Conference on Robotics and Automation — 2× in this paper
• Objective Function — 2× in this paper · explained in 2 episodes
• Pruning — 2× in this paper · explained in 4 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Spatial Relation Inference — 2× in this paper
• Action Primitives — 1× in this paper · explained in 1 episode
• Admissibility — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Benchmark — 1× in this paper · explained in 2 episodes
• Consistency — 1× in this paper · explained in 3 episodes
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• International Conference on Automation Science and Engineering — 1× in this paper
• Redundancy — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Tabletop Object Rearrangement with Overhand Grasps — 1× in this paper
• Task Planning — 1× in this paper · explained in 2 episodes

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