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20022023
most citedNonlinear Voter Models: The Transition from Invasion to Coexistence

90 citations · 258 across the 28 of their papers we have counts for

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Showing cs.ROShow all

8 papers · 1 filter

cs.RO2023

Domain-Independent Disperse and Pick method for Robotic Grasping

Prem Raj, Aniruddha Singhal, Vipul Sanap +2

Picking unseen objects from clutter is a difficult problem because of the variability in objects (shape, size, and material) and occlusion due to clutter. As a result, it becomes d…

cs.RO2021★ 1 cited

Visually Guided UGV for Autonomous Mobile Manipulation in Dynamic and Unstructured GPS Denied Environments

Mohit Vohra, Laxmidhar Behera

A robotic solution for the unmanned ground vehicles (UGVs) to execute the highly complex task of object manipulation in an autonomous mode is presented. This paper primarily focuse…

cs.RO2021

End-To-End Real-Time Visual Perception Framework for Construction Automation

Mohit Vohra, Ashish Kumar, Ravi Prakash +1

In this work, we present a robotic solution to automate the task of wall construction. To that end, we present an end-to-end visual perception framework that can quickly detect and…

cs.RO2021

Edge and Corner Detection in Unorganized Point Clouds for Robotic Pick and Place Applications

Mohit Vohra, Ravi Prakash, Laxmidhar Behera

In this paper, we propose a novel edge and corner detection algorithm for an unorganized point cloud. Our edge detection method classifies a query point as an edge point by evaluat…

cs.RO2021★ 1 cited

Towards Deep Learning Assisted Autonomous UAVs for Manipulation Tasks in GPS-Denied Environments

Ashish Kumar, Mohit Vohra, Ravi Prakash +1

In this work, we present a pragmatic approach to enable unmanned aerial vehicle (UAVs) to autonomously perform highly complicated tasks of object pick and place. This paper is larg…

cs.RO2020★ 8 cited

Learning to Switch CNNs with Model Agnostic Meta Learning for Fine Precision Visual Servoing

Prem Raj, Vinay P. Namboodiri, L. Behera

Convolutional Neural Networks (CNNs) have been successfully applied for relative camera pose estimation from labeled image-pair data, without requiring any hand-engineered features…