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20222024
most citedObject Goal Navigation using Data Regularized Q-Learning

1 citations · 3 across the 8 of their papers we have counts for

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7 papers · 1 filter

cs.RO2024

MPVO: Motion-Prior based Visual Odometry for PointGoal Navigation

Sayan Paul, Ruddra dev Roychoudhury, Brojeshwar Bhowmick

Visual odometry (VO) is essential for enabling accurate point-goal navigation of embodied agents in indoor environments where GPS and compass sensors are unreliable and inaccurate.…

cs.RO2023

Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments

Junaid Ahmed Ansari, Satyajit Tourani, Gourav Kumar +1

This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space. By leveraging this social motion latent spa…

cs.RO2023

CLIPGraphs: Multimodal Graph Networks to Infer Object-Room Affinities

Ayush Agrawal, Raghav Arora, Ahana Datta +5

This paper introduces a novel method for determining the best room to place an object in, for embodied scene rearrangement. While state-of-the-art approaches rely on large language…

cs.RO2023

Sequence-Agnostic Multi-Object Navigation

Nandiraju Gireesh, Ayush Agrawal, Ahana Datta +4

The Multi-Object Navigation (MultiON) task requires a robot to localize an instance (each) of multiple object classes. It is a fundamental task for an assistive robot in a home or…

cs.RO20221 cited

Spatial Relation Graph and Graph Convolutional Network for Object Goal Navigation

D. A. Sasi Kiran, Kritika Anand, Chaitanya Kharyal +7

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 startin…

cs.RO20221 cited

Object Goal Navigation using Data Regularized Q-Learning

Nandiraju Gireesh, D. A. Sasi Kiran, Snehasis Banerjee +3

Object Goal Navigation requires a robot to find and navigate to an instance of a target object class in a previously unseen environment. Our framework incrementally builds a semant…