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Abhinav Rajvanshi

4 accepted papers

2025

Graph2Nav: 3D Object-Relation Graph Generation to Robot Navigation

ICRA 2025

We propose Graph2Nav, a real-time 3D object-relation graph generation framework, for autonomous navigation in the real world. Our framework fully generates and exploits both 3D objects and a rich set of semantic relationships among objects in a 3D layered scene graph, which is applicable to both ind

Cited by 6SourceScholar
2023

C-SFDA: A Curriculum Learning Aided Self-Training Framework for Efficient Source Free Domain Adaptation

CVPR 2023poster

Unsupervised domain adaptation (UDA) approaches focus on adapting models trained on a labeled source domain to an unlabeled target domain. In contrast to UDA, source-free domain adaptation (SFDA) is a more practical setup as access to source data is no longer required during adaptation. Recent state…

2022

Ranging-Aided Ground Robot Navigation Using UWB Nodes at Unknown Locations

IROS 2022poster

Ranging information from ultra-wideband (UWB) ranging radios can be used to improve estimated navigation accuracy of a ground robot with other on-board sensors. However, all ranging-aided navigation methods demand the locations of ranging nodes to be known, which is not suitable for time-pressed sit…

Cited by 4SourceScholar
2017

Proton 2: Increasing the sensitivity and portability of a visuo-haptic surface interaction recorder

ICRA 2017poster

The Portable Robotic Optical/Tactile ObservatioN PACKage (PROTONPACK, or Proton for short) is a new handheld visuo-haptic sensing system that records surface interactions. We previously demonstrated system calibration and a classification task using external motion tracking. This paper details impro…

Cited by 10SourceScholar