2 citations · 5 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
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…
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…
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…