6 papers
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…
Grasp the Graph (GtG) 2.0: Ensemble of Graph Neural Networks for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam, Sayedmohammadreza Rastegari, Mehdi Tale Masouleh +1
Grasp pose detection in cluttered, real-world environments remains a significant challenge due to noisy and incomplete sensory data combined with complex object geometries. This pa…
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 shuffling ob…
Real-Time Imitation of Human Head Motions, Blinks and Emotions by Nao Robot: A Closed-Loop Approach
Keyhan Rayati, Amirhossein Feizi, Alireza Beigy +3
This paper introduces a novel approach for enabling real-time imitation of human head motion by a Nao robot, with a primary focus on elevating human-robot interactions. By using th…
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…
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…