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08/22/2023
Vision-Based Intelligent Robot Grasping Using Sparse Neural Network
In the modern era of Deep Learning, network parameters play a vital role...
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02/20/2022
Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent Robot Grasping
Intelligent robot grasping is a very challenging task due to its inheren...
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08/09/2021
Development of Human Motion Prediction Strategy using Inception Residual Block
Human Motion Prediction is a crucial task in computer vision and robotic...
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07/15/2021
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
Our way of grasping objects is challenging for efficient, intelligent an...
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01/23/2020
Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space
Determining quality grasps from an image is an important area of researc...
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01/15/2020
Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning
Intelligent Object manipulation for grasping is a challenging problem fo...
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10/03/2017
Supervised Q-walk for Learning Vector Representation of Nodes in Networks
Automatic feature learning algorithms are at the forefront of modern day...
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09/17/2016