activity
20202022
most citedActive Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter

47 citations · 86 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2022

An Empirical Evaluation of Various Information Gain Criteria for Active Tactile Action Selection for Pose Estimation

Prajval Kumar Murali, Ravinder Dahiya, Mohsen Kaboli

Accurate object pose estimation using multi-modal perception such as visual and tactile sensing have been used for autonomous robotic manipulators in literature. Due to variation i…

cs.RO2022

Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation

Prajval Kumar Murali, Cong Wang, Ravinder Dahiya +1

Three-dimensional (3D) object recognition is crucial for intelligent autonomous agents such as autonomous vehicles and robots alike to operate effectively in unstructured environme…

cs.RO202247 cited

Active Visuo-Tactile Interactive Robotic Perception for Accurate Object Pose Estimation in Dense Clutter

Prajval Kumar Murali, Anirvan Dutta, Michael Gentner +3

This work presents a novel active visuo-tactile based framework for robotic systems to accurately estimate pose of objects in dense cluttered environments. The scene representation…

cs.RO2021

Active Visuo-Tactile Point Cloud Registration for Accurate Pose Estimation of Objects in an Unknown Workspace

Prajval Kumar Murali, Michael Gentner, Mohsen Kaboli

This paper proposes a novel active visuo-tactile based methodology wherein the accurate estimation of the time-invariant SE(3) pose of objects is considered for autonomous robotic…

cs.RO2021

In Situ Translational Hand-Eye Calibration of Laser Profile Sensors using Arbitrary Objects

Prajval Kumar Murali, Ines Sorrentino, Angelo Rendiniello +8

Hand-eye calibration of laser profile sensors is the process of extracting the homogeneous transformation between the laser profile sensor frame and the end-effector frame of a rob…

cs.RO202039 cited

Deployment and Evaluation of a Flexible Human-Robot Collaboration Model Based on AND/OR Graphs in a Manufacturing Environment

Prajval Kumar Murali, Kourosh Darvish, Fulvio Mastrogiovanni

The Industry 4.0 paradigm promises shorter development times, increased ergonomy, higher flexibility, and resource efficiency in manufacturing environments. Collaborative robots ar…