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Sundara Tejaswi Digumarti

4 accepted papers

2023

InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning

RSS 2023poster

Localization for autonomous robots in prior maps is crucial for their functionality. This paper offers a solution to this problem for indoor environments called InstaLoc, which operates on an individual lidar scan to localize it within a prior map. We draw on inspiration from how humans navigate and…

2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation

IROS 2022poster

Safe motion planning in robotics requires planning into space which has been verified to be free of obstacles. However, obtaining such environment representations using lidars is challenging by virtue of the sparsity of their depth measurements. We present a learning-aided 3D lidar reconstruction fr…

Cited by 9SourceScholar
2018

Automatic Segmentation of Tree Structure From Point Cloud Data

RA-L 2018

Methods for capturing and modeling vegetation, such as trees or plants, typically distinguish between two components-branch skeleton and foliage. Current methods do not provide quantitatively accurate tree structure and foliage density needed for applications such as visualization, inspection, or to

Cited by 22SourceScholar
2015

Rendezvous with bearing-only information and limited sensing range

ICRA 2015poster

This paper proposes a generalized algorithm that enables mobile agents to meet in a bounded region based only on bearing information of other agents within their vicinity. Each agent repeatedly employs a stop-and-go strategy consisting of the following three actions: (1) Estimate the bearing of agen…

Cited by 10SourceScholar