most citedDomain Independent Unsupervised Learning to grasp the Novel Objects

2 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

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.RO20211 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.CV20202 cited

Domain Independent Unsupervised Learning to grasp the Novel Objects

Siddhartha Vibhu Pharswan, Mohit Vohra, Ashish Kumar +1

One of the main challenges in the vision-based grasping is the selection of feasible grasp regions while interacting with novel objects. Recent approaches exploit the power of the…

cs.RO20201 cited

Real-time Grasp Pose Estimation for Novel Objects in Densely Cluttered Environment

Mohit Vohra, Ravi Prakash, Laxmidhar Behera

Grasping of novel objects in pick and place applications is a fundamental and challenging problem in robotics, specifically for complex-shaped objects. It is observed that the well…