activity
20242026
most citedAGILE: Approach-based Grasp Inference Learned from Element Decomposition

6 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Push-Placement: A Hybrid Approach Integrating Prehensile and Non-Prehensile Manipulation for Object Rearrangement

Majid Sadeghinejad, Arman Barghi, Hamed Hosseini +2

Efficient tabletop rearrangement remains challenging due to collisions and the need for temporary buffering when target poses are obstructed. Prehensile pick-and-place provides pre…

cs.RO2025

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

Arman Barghi, Hamed Hosseini, Seraj Ghasemi +2

Rearranging objects in cluttered tabletop environments remains a long-standing challenge in robotics. Classical planners often generate inefficient, high-cost plans by moving objec…

cs.CV2025★ 1 cited

AI-Driven Relocation Tracking in Dynamic Kitchen Environments

Arash Nasr Esfahani, Hamed Hosseini, Mehdi Tale Masouleh +2

As smart homes become more prevalent in daily life, the ability to understand dynamic environments is essential which is increasingly dependent on AI systems. This study focuses on…

cs.CV2024★ 1 cited

Scene Understanding in Pick-and-Place Tasks: Analyzing Transformations Between Initial and Final Scenes

Seraj Ghasemi, Hamed Hosseini, MohammadHossein Koosheshi +2

With robots increasingly collaborating with humans in everyday tasks, it is important to take steps toward robotic systems capable of understanding the environment. This work focus…

cs.RO2024★ 6 cited

AGILE: Approach-based Grasp Inference Learned from Element Decomposition

MohammadHossein Koosheshi, Hamed Hosseini, Mehdi Tale Masouleh +2

Humans, this species expert in grasp detection, can grasp objects by taking into account hand-object positioning information. This work proposes a method to enable a robot manipula…