16 citations · 30 across the 14 of their papers we have counts for
9 papers · 1 filter
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-…
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…
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…
Experimental Study on Automatically Assembling Custom Catering Packages With a 3-DOF Delta Robot Using Deep Learning Methods
Reihaneh Yourdkhani, Arash Tavoosian, Navid Asadi Khomami +1
This paper introduces a pioneering experimental study on the automated packing of a catering package using a two-fingered gripper affixed to a 3-degree-of-freedom Delta parallel ro…
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…
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…
Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
Hamed Hosseini, Mehdi Tale Masouleh, Ahmad Kalhor
Robotic grasp should be carried out in a real-time manner by proper accuracy. Perception is the first and significant step in this procedure. This paper proposes an improved pipeli…
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…
Experimental Study on the Imitation of the Human Head-and-Eye Pose Using the 3-DOF Agile Eye Parallel Robot with ROS and Mediapipe Framework
Amirmohammad Radmehr, Milad Asgari, Mehdi Tale Masouleh
In this paper, a method to mimic a human face and eyes is proposed which can be regarded as a combination of computer vision techniques and neural network concepts. From a mechanic…