2 citations · 2 across the 4 of their papers we have counts for
4 papers
Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent Robot Grasping
Vandana Kushwaha, Priya Shukla, G C Nandi
Intelligent robot grasping is a very challenging task due to its inherent complexity and non availability of sufficient labelled data. Since making suitable labelled data available…
GI-NNet \& RGI-NNet: Development of Robotic Grasp Pose Models, Trainable with Large as well as Limited Labelled Training Datasets, under supervised and semi supervised paradigms
Priya Shukla, Nilotpal Pramanik, Deepesh Mehta +1
Our way of grasping objects is challenging for efficient, intelligent and optimal grasp by COBOTs. To streamline the process, here we use deep learning techniques to help robots le…
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
Mridul Mahajan, Tryambak Bhattacharjee, Arya Krishnan +2
For a robot to perform complex manipulation tasks, it is necessary for it to have a good grasping ability. However, vision based robotic grasp detection is hindered by the unavaila…
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Priya Shukla, Hitesh Kumar, G. C. Nandi
Intelligent Object manipulation for grasping is a challenging problem for robots. Unlike robots, humans almost immediately know how to manipulate objects for grasping due to learni…