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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

A. Kalhor

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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
#artificial intelligence Preprint Aug 2026

Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision

A reinforcement learning-based framework for robotic grasp refinement, integrating keypoint-based object representations with a Deep Q-Network (DQN), is proposed, offering a scalable and adaptable solution for contact-rich manipulation tasks.

Amir Arsalan Nematollahi, Shayan Ahmadi, M. T. Masouleh et al. · 0 citations

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