Search Results for author: Nandiraju Gireesh

Found 5 papers, 1 papers with code

GAMMA: Graspability-Aware Mobile MAnipulation Policy Learning based on Online Grasping Pose Fusion

no code implementations27 Sep 2023 Jiazhao Zhang, Nandiraju Gireesh, Jilong Wang, Xiaomeng Fang, Chaoyi Xu, Weiguang Chen, Liu Dai, He Wang

Mobile manipulation constitutes a fundamental task for robotic assistants and garners significant attention within the robotics community.

Sequence-Agnostic Multi-Object Navigation

no code implementations10 May 2023 Nandiraju Gireesh, Ayush Agrawal, Ahana Datta, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna

The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes.

Object

Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation

no code implementations27 Aug 2022 D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal, Gulshan Kumar, Nandiraju Gireesh, Snehasis Banerjee, Ruddra dev Roychoudhury, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna

This paper describes a framework for the object-goal navigation task, which requires a robot to find and move to the closest instance of a target object class from a random starting position.

Bayesian Inference Object +2

Object Goal Navigation using Data Regularized Q-Learning

no code implementations27 Aug 2022 Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee, Mohan Sridharan, Brojeshwar Bhowmick, Madhava Krishna

Our framework incrementally builds a semantic map of the environment over time, and then repeatedly selects a long-term goal ('where to go') based on the semantic map to locate the target object instance.

Data Augmentation Navigate +2

XRayGAN: Consistency-preserving Generation of X-ray Images from Radiology Reports

1 code implementation17 Jun 2020 Xingyi Yang, Nandiraju Gireesh, Eric Xing, Pengtao Xie

To address this problem, we develop methods to generate view-consistent, high-fidelity, and high-resolution X-ray images from radiology reports to facilitate radiology training of medical students.

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