2 citations · 3 across the 6 of their papers we have counts for
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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…
Human Gait State Prediction Using Cellular Automata and Classification Using ELM
Vijay Bhaskar Semwal, Neha Gaud, G. C. Nandi
In this research article, we have reported periodic cellular automata rules for different gait state prediction and classification of the gait data using extreme machine Leaning (E…