Zobrazeno 1 - 10
of 113
pro vyhledávání: '"Lazaros Nalpantidis"'
Autor:
Dimitrios Katsatos, Paschalis Charalampous, Patrick Schmidt, Ioannis Kostavelis, Dimitrios Giakoumis, Lazaros Nalpantidis, Dimitrios Tzovaras
Publikováno v:
Robotics, Vol 13, Iss 7, p 102 (2024)
The appearance of construction defects in buildings can arise from a variety of factors, ranging from issues during the design and construction phases to problems that develop over time with the lifecycle of a building. These defects require repairs,
Externí odkaz:
https://doaj.org/article/4408e40831714873b5a67110afbdd852
Autor:
Wenzhen Yang, Johan K. Crone, Claus R. Lønkjær, Macarena Mendez Ribo, Shuo Shan, Flavia Dalia Frumosu, Dimitrios Papageorgiou, Yu Liu, Lazaros Nalpantidis, Yang Zhang
Publikováno v:
Journal of Intelligent Manufacturing and Special Equipment, Vol 4, Iss 2, Pp 85-98 (2023)
Purpose – This study aims to present a vision-guided robotic system design for application in vat photopolymerization additive manufacturing (AM), enabling vat photopolymerization AM hybrid with injection molding process. Design/methodology/approac
Externí odkaz:
https://doaj.org/article/7704ec8df79348da89ab7e23e405e32a
Autor:
Rahul Tomar, Lazaros Nalpantidis, Ioannis Kostavelis, Herman Bruyninckx, Renaud Detry, Dimitrios Tzovaras, Schlette Christian, Aude Billard, Konstantinos Andronikidis, Marc Bosch, Pedram Yosefipor, Henrik Lund-Nielsen, Fernando LLano Martínez, Usman Wajid, Despoina Papargyriou, Federica Fugaroli, Gash Bhullar, Nikolay Mehandjiev, Jonas Bentzen, Estefânia Gonçalves, Christian Cremona, Mads Essenbæk, Marcos Sanchez, Mary Wong, Dimitrios Giakoumis
Publikováno v:
Open Research Europe, Vol 4 (2024)
The importance of construction automation has grown worldwide, aiming to deliver new machineries for the automation of roads, tunnels, bridges, buildings and earth-work construction. This need is mainly driven by (i) the shortage and rising costs of
Externí odkaz:
https://doaj.org/article/a19cc4be72184f978ba4c30cb5986d12
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
Real-time prediction of human location combined with the capability to perceive obstacles is crucial for socially-aware navigation in robotics. Our work focuses on localizing humans in the world and predicting the free space around them by incorporat
Externí odkaz:
https://doaj.org/article/1c53d51c7e9642a09e6cf1528cd0b9d1
Publikováno v:
Agronomy, Vol 13, Iss 9, p 2365 (2023)
Autonomous weeding robots need to accurately detect the joint stem of grassland weeds in order to control those weeds in an effective and energy-efficient manner. In this work, keypoints on joint stems and bounding boxes around weeds in grasslands ar
Externí odkaz:
https://doaj.org/article/044a628a8ef84ac3ac4417c8b60d00b7
Publikováno v:
Machine Learning with Applications, Vol 10, Iss , Pp 100411- (2022)
Machine learning and specifically deep learning techniques address many of the issues faced in visual object detection and classification tasks. However, they have the caveat of needing large amounts of annotated training data. In the maritime domain
Externí odkaz:
https://doaj.org/article/0ee6c35507f74d55ad1df97a7c0a6099
Publikováno v:
Electronics Letters, Vol 57, Iss 16, Pp 605-607 (2021)
Abstract Object detection has been in the focus of researchers within varying applications propelled by the recent advances in deep learning and neural networks. Many applications require both detection of class instances as well as a quantification
Externí odkaz:
https://doaj.org/article/da535e983052405a96616f506ee9ed6c
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 13 (2016)
Mobile robots should possess accurate self-localization capabilities in order to be successfully deployed in their environment. A solution to this challenge may be derived from visual odometry (VO), which is responsible for estimating the robot's pos
Externí odkaz:
https://doaj.org/article/093601e67b5d40698b0304914cbeede7
Publikováno v:
Journal of Field Robotics.
Publikováno v:
Schöller, F E T, Nalpantidis, L & Blanke, M 2022, ' Buoy Light Pattern Classification for Autonomous Ship Navigation using Recurrent Neural Networks ', IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 7, pp. 9455-9465 . https://doi.org/10.1109/TITS.2021.3122275
In near coast navigation, buoys and beacons convey essential information about dangers. At night-time, selected buoys send out individual blink-sequences that are marked in sea charts. International regulations require that navigation officer on watc