Robotic Grasp Detection By Learning Representation in a Vector Quantized Manifold. - Mridul Mahajan; Tryambak Bhattacharjee; Arya Krishnan; Priya Shukla; Gora Chand Nandi (SPCOM, 2020)

Semi-supervised Grasp Detection by Representation Learning in a Vector Quantized Latent Space. - Mridul Mahajan; Tryambak Bhattacharjee; Arya Krishnan; Priya Shukla; Gora Chand Nandi (CoRR, 2020)

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; Gora Chand Nandi (CoRR, 2021)

Robotic grasp manipulation using evolutionary computing and deep reinforcement learning. - Priya Shukla; Hitesh Kumar; Gora Chand Nandi (Intell. Serv. Robotics, 2021)

Designing effective power law-based loss function for faster and better bounding box regression. - Diksha Aswal; Priya Shukla; Gora Chand Nandi (Mach. Vis. Appl., 2021)

Generative model based robotic grasp pose prediction with limited dataset. - Priya Shukla; Nilotpal Pramanik; Deepesh Mehta; Gora Chand Nandi (Appl. Intell., 2022)

Vision-Based Intelligent Robot Grasping Using Sparse Neural Network. - Priya Shukla; Vandana Kushwaha; Gora Chand Nandi (CoRR, 2023)

Generating quality grasp rectangle using Pix2Pix GAN for intelligent robot grasping. - Vandana Kushwaha; Priya Shukla; Gora Chand Nandi (Mach. Vis. Appl., 2023)

Development of a robust cascaded architecture for intelligent robot grasping using limited labelled data. - Priya Shukla; Vandana Kushwaha; Gora Chand Nandi (Mach. Vis. Appl., 2023)

Context-aware 6D pose estimation of known objects using RGB-D data. - Ankit Kumar; Priya Shukla; Vandana Kushwaha; Gora Chand Nandi (Multim. Tools Appl., 2024)

GRIM: Task-Oriented Grasping with Conditioning on Generative Examples. - Shailesh; Alok Raj; Nayan Kumar; Priya Shukla; Andrew Melnik; Micheal Beetz; Gora Chand Nandi (CoRR, 2025)