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Anurag Sai Vempati

5 accepted papers

2020

A Data-driven Planning Framework for Robotic Texture Painting on 3D Surfaces

ICRA 2020poster

Painting textures on 3D surfaces requires an understanding of the surface geometry, paint flow and paint mixing. This work formulates automated painting as a planning problem and proposes a solution based on a self-supervised learning framework that enables a robot to paint monochromatic non-uniform…

Cited by 9SourceScholar
2019

A Virtual Reality Interface for an Autonomous Spray Painting UAV

RA-L 2019

PaintCopter is an autonomous unmanned aerial vehicle (UAV) capable of spray painting on complex three-dimensional (3D) surfaces. This letter aims to make PaintCopter more user-friendly and to enable more intuitive human–robot interaction. We propose a virtual reality interface that allows the user t

Cited by 26SourceScholar
2018

PaintCopter: An Autonomous UAV for Spray Painting on Three-Dimensional Surfaces

RA-L 2018

This letter describes a system for autonomous spray painting using an unmanned aerial vehicle (UAV), suitable for industrial applications. The work is motivated by the potential for such a system to achieve accurate and fast painting results. The PaintCopter is a quadrotor that has been custom fitte

Cited by 55SourceScholar
2018

StreetMap - Mapping and Localization on Ground Planes using a Downward Facing Camera

IROS 2018poster

This paper describes a system to map a ground-plane, and to subsequently use the map for localization of a mobile robot. The robot has a downward-facing camera, and works on a variety of ground textures including general texture like tarmac, man-made designs like carpet, and rectilinear textures lik…

Cited by 24SourceScholar
2017

Onboard real-time dense reconstruction of large-scale environments for UAV

IROS 2017poster

In this paper, we propose a GPU parallelized SLAM system capable of using photometric and inertial data together with depth data from an active RGB-D sensor to build accurate dense 3D maps of indoor environments. We describe several extensions to existing dense SLAM techniques that allow us to opera…

Cited by 17SourceScholar