16 citations · 33 across the 12 of their papers we have counts for
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cs.RO2026
Iterative Grasp Pose Refinement: A Deep Reinforcement Learning Approach for 2D Vision
Amir Arsalan Nematollahi, Shayan Ahmadi, Mehdi Tale Masouleh +1
Developing robots capable of understanding and manipulating objects requires compact, interpretable, and generalizable representations. This work proposes a reinforcement learning-…
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…