Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Naresh Marturi"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract 3D edge features, which represent the boundaries between different objects or surfaces in a 3D scene, are crucial for many computer vision tasks, including object recognition, tracking, and segmentation. They also have numerous real-world ap
Externí odkaz:
https://doaj.org/article/d9d7635b7b5a469dbdf11b63f20af5de
Publikováno v:
Frontiers in Robotics and AI, Vol 9 (2022)
This paper deals with the control of a redundant cobot arm to accomplish peg-in-hole insertion tasks in the context of middle ear surgery. It mainly focuses on the development of two shared control laws that combine local measurements provided by pos
Externí odkaz:
https://doaj.org/article/c574963673e444b8aa6c7b5b16a18919
Publikováno v:
IEEE Access, Vol 8, Pp 63121-63133 (2020)
Object detection has always been a challenging task in the field of computer vision due to complex background, large scale variation and many small objects, which are especially pronounced for remote sensing imagery. In recent years, object detection
Externí odkaz:
https://doaj.org/article/a0711964fe3a4b9a880a5480f222cbbc
Publikováno v:
IEEE Access, Vol 8, Pp 11426-11436 (2020)
Data-driven optimization is an efficient global optimization algorithm for expensive black-box functions. In this paper, we apply data-driven optimization algorithm to the task of change detection with synthetic aperture radar (SAR) images for the fi
Externí odkaz:
https://doaj.org/article/a477c1e4fae04395adc229cfe668736e
Autor:
Valerio Ortenzi, Francesca Cini, Tommaso Pardi, Naresh Marturi, Rustam Stolkin, Peter Corke, Marco Controzzi
Publikováno v:
Frontiers in Robotics and AI, Vol 7 (2020)
Task-aware robotic grasping is critical if robots are to successfully cooperate with humans. The choice of a grasp is multi-faceted; however, the task to perform primes this choice in terms of hand shaping and placement on the object. This grasping s
Externí odkaz:
https://doaj.org/article/a5b26c94854842dea9c70320e2f05899
Publikováno v:
Robotics, Vol 10, Iss 3, p 107 (2021)
In this paper, we present a novel concept and primary investigations regarding automated unfastening of hexagonal nuts by means of surface exploration with a compliant robot. In contrast to the conventional industrial approaches that rely on custom-d
Externí odkaz:
https://doaj.org/article/71832387edc34586a6ed769d23b177eb
Publikováno v:
Remote Sensing, Vol 12, Iss 5, p 872 (2020)
Semantic segmentation of high-resolution remote sensing images is highly challenging due to the presence of a complicated background, irregular target shapes, and similarities in the appearance of multiple target categories. Most of the existing segm
Externí odkaz:
https://doaj.org/article/4a3e2f64566542b8bbb9b9d41e71f9e1
Autor:
Alireza Rastegarpanah, Hamid Rakhodaei, Mozafar Saadat, Mohammad Rastegarpanah, Naresh Marturi, Alberto Borboni, Rui CV Loureiro
Publikováno v:
Advances in Mechanical Engineering, Vol 10 (2018)
Stiffness is one of the important parameters for estimating the performance of hybrid parallel robots as it is not constant throughout its workspace. The aim of this study is to provide an optimum path based on maximum stiffness within the workspace
Externí odkaz:
https://doaj.org/article/879e52a85e9d4056958ad7f11b73f4f2
Autor:
Yangyang Li, Ruoting Xing, Licheng Jiao, Yanqiao Chen, Yingte Chai, Naresh Marturi, Ronghua Shang
Publikováno v:
Remote Sensing, Vol 11, Iss 16, p 1933 (2019)
Polarimetric synthetic aperture radar (PolSAR) image classification is a recent technology with great practical value in the field of remote sensing. However, due to the time-consuming and labor-intensive data collection, there are few labeled datase
Externí odkaz:
https://doaj.org/article/82217aaad2054c9a84eb1ef81c8939c9
Publikováno v:
IEEE Robotics and Automation Letters. 6:3349-3356
This paper addresses the problem of simultaneously exploring an unknown object to model its shape, using tactile sensors on robotic fingers, while also improving finger placement to optimise grasp stability. In many situations, a robot will have only
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e536d4df403e8e2d3b1df0b182cb6b0
https://doi.org/10.1109/lra.2021.3063074
https://doi.org/10.1109/lra.2021.3063074