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Robotic grasp manipulation using evolutionary computing and deep reinforcement learning., , and . Intell. Serv. Robotics, 14 (1): 61-77 (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., , , and . CoRR, (2021)Development of a robust cascaded architecture for intelligent robot grasping using limited labelled data., , and . CoRR, (2021)Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space., , , , and . CoRR, (2020)Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent Robot Grasping., , and . CoRR, (2022)Generative model based robotic grasp pose prediction with limited dataset., , , and . Appl. Intell., 52 (9): 9952-9966 (2022)Context-aware 6D pose estimation of known objects using RGB-D data., , , and . Multim. Tools Appl., 83 (17): 52973-52987 (May 2024)Robotic Grasp Manipulation Using Evolutionary Computing and Deep Reinforcement Learning., , and . CoRR, (2020)Vision-Based Intelligent Robot Grasping Using Sparse Neural Network., , and . CoRR, (2023)Robotic Grasp Detection By Learning Representation in a Vector Quantized Manifold., , , , and . SPCOM, page 1-5. IEEE, (2020)