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Rangaprasad Arun Srivatsan

8 accepted papers

2019

A Multi-Domain Feature Learning Method for Visual Place Recognition

ICRA 2019poster

Visual Place Recognition (VPR) is an important component in both computer vision and robotics applications, thanks to its ability to determine whether a place has been visited and where specifically. A major challenge in VPR is to handle changes of environmental conditions including weather, season…

Cited by 37SourceScholar
2019

MRS-VPR: a multi-resolution sampling based global visual place recognition method

ICRA 2019poster

Place recognition and loop closure detection are challenging for long-term visual navigation tasks. SeqSLAM is considered to be one of the most successful approaches to achieve long-term localization under varying environmental conditions and changing viewpoints. SeqSLAM uses a brute-force sequentia…

Cited by 20SourceScholar
2019

PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

CVPR 2019poster

PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent variants/extensions are considered state-of-the-art. To date, the successful application of PointNet to point cloud registration has remained elusive.…

Cited by 1046PDFcodeScholar
2018

Trajectory-Optimized Sensing for Active Search of Tissue Abnormalities in Robotic Surgery

ICRA 2018poster

In this work, we develop an approach for guiding robots to automatically localize and find the shapes of tumors and other stiff inclusions present in the anatomy. Our approach uses Gaussian processes to model the stiffness distribution and active learning to direct the palpation path of the robot. T…

Cited by 27SourceScholar
2017

Development of an inexpensive tri-axial force sensor for minimally invasive surgery

IROS 2017poster

This work presents the design and evaluation of a low-cost tri-axial force sensor, that has been developed to regain the sense of touch in minimally invasive surgeries (MIS). The force sensor uses an array of force sensitive resistors (FSR) with a mechanically pre-loaded structure to perform the for…

Cited by 35SourceScholar
2016

Complementary model update: A method for simultaneous registration and stiffness mapping in flexible environments

ICRA 2016

Registering a surgical tool to an a priori model of the environment is an important first step in computer-aided surgery. In this paper we present an approach for simultaneous registration and stiffness mapping using blind exploration of flexible environments. During contact-based exploration of fle

Cited by 32SourceScholar
2016

Estimating SE(3) elements using a dual quaternion based linear Kalman filter

RSS 2016poster

Many applications in robotics such as registration, object tracking, sensor calibration, etc. use Kalman filters to estimate a time invariant SE(3) element by locally linearizing a non-linear measurement model. Linearization-based filters tend to suffer from inaccurate estimates, and in some cases d…

Cited by 51SourcePDFScholar
2016

Using Bayesian optimization to guide probing of a flexible environment for simultaneous registration and stiffness mapping

ICRA 2016

One of the goals of computer-aided surgery is to register intraoperative data to preoperative model of the anatomy, and hence add complementary information that can facilitate the task of surgical navigation. In this context, mechanical palpation can reveal critical anatomical features such as arter

Cited by 46SourceScholar