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cs.RO2021
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…
cs.RO2021
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…