87 citations · 122 across the 12 of their papers we have counts for
4 papers · 1 filter
Development of a robust cascaded architecture for intelligent robot grasping using limited labelled data
Priya Shukla, Vandana Kushwaha, G. C. Nandi
Grasping objects intelligently is a challenging task even for humans and we spend a considerable amount of time during our childhood to learn how to grasp objects correctly. In the…
Development of Human Motion Prediction Strategy using Inception Residual Block
Shekhar Gupta, Gaurav Kumar Yadav, G. C. Nandi
Human Motion Prediction is a crucial task in computer vision and robotics. It has versatile application potentials such as in the area of human-robot interactions, human action tra…
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…