Search Results for author:
Found 2 papers, 1 papers with code
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network
In this paper, we present a modular robotic system to tackle the problem of generating and performing antipodal robotic grasps for unknown objects from n-channel image of the scene.
Ranked #2 on
Robotic Grasping
on Jacquard dataset
Robotic Grasp Detection using Deep Convolutional Neural Networks
In this paper, we present a novel robotic grasp detection system that predicts the best grasping pose of a parallel-plate robotic gripper for novel objects using the RGB-D image of the scene.
Ranked #4 on
Robotic Grasping
on Cornell Grasp Dataset
