Zobrazeno 1 - 10
of 330
pro vyhledávání: '"Lakmal Seneviratne"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-22 (2024)
Abstract In recent years, significant advancements have been made in the field of smart greenhouses, particularly in the application of computer vision and robotics for pollinating flowers. Robotic pollination offers several benefits, including reduc
Externí odkaz:
https://doaj.org/article/0b90e4c741d04535892fa3cf2166f01e
Publikováno v:
IEEE Access, Vol 12, Pp 160299-160314 (2024)
Compliant manipulators with variable stiffness actuation systems are crucial for safety in physical human-robot interactions, improving performance during unexpected collisions. However, their inherent compliance poses motion control challenges, espe
Externí odkaz:
https://doaj.org/article/eaeaf03a58744471911cd80e3875fad9
Publikováno v:
IEEE Access, Vol 12, Pp 159688-159705 (2024)
Recent synergistic deep learning techniques are underexplored in analyzing heterogeneous 2-D and 3-D radiographic data. Despite progress, existing heterogeneous approaches for 3-D volumetric data often rely on image-based methods, requiring manual se
Externí odkaz:
https://doaj.org/article/adfcf99988ae4242ac78e03d0bb639f4
Autor:
Lyes Saad Saoud, Mahmoud Elmezain, Atif Sultan, Mohamed Heshmat, Lakmal Seneviratne, Irfan Hussain
Publikováno v:
IEEE Access, Vol 12, Pp 145206-145233 (2024)
Underwater imaging suffers from significant quality degradation due to light scattering and absorption by water molecules, leading to color cast and reduced visibility. This hinders the ability to analyze and interpret the underwater world. Image deh
Externí odkaz:
https://doaj.org/article/2d06a091b4594c47a880411b34093bf6
Autor:
Kshetrimayum Lochan, Asim Khan, Islam Elsayed, Bhivraj Suthar, Lakmal Seneviratne, Irfan Hussain
Publikováno v:
IEEE Access, Vol 12, Pp 129447-129483 (2024)
Through mechanization, automation, and intensification, there has been a substantial increase in agricultural production over time. The efficiency, reliability, and precision of agricultural equipment have improved significantly with automation, lead
Externí odkaz:
https://doaj.org/article/1a55916f91884312bef22de1c02847b8
Autor:
Ahmad Abubakar, Yahya Zweiri, Ruqayya Alhammadi, Mohammed B. Mohiuddin, Mubarak Yakubu, Lakmal Seneviratne
Publikováno v:
IEEE Access, Vol 12, Pp 111593-111610 (2024)
The challenges posed by terrain-induced slippage for wheeled rovers traversing soft terrains (e.g. lunar terrain) are critical to ensuring safe operation. Bilateral teleoperation systems present a promising solution to this issue, by conveying the sl
Externí odkaz:
https://doaj.org/article/ecaedc1bba40446c9c45c521152e3186
Autor:
Xiaoqian Huang, Rana Azzam, Sajid Javed, Dongming Gan, Lakmal Seneviratne, Abdelqader Abusafieh, Yahya Zweiri
Publikováno v:
IEEE Access, Vol 10, Pp 123622-123633 (2022)
Object segmentation in cluttered environments is a fundamental pre-processing step for many perception-related tasks such as vision-based robotic grasping. Most of the existing object segmentation methods are incapable of precisely segmenting unknown
Externí odkaz:
https://doaj.org/article/d6c64ce1698e4259b5f9bf78d90c9ffa
Publikováno v:
IEEE Access, Vol 10, Pp 2037-2050 (2022)
Coverage Path Planning (CPP) is an essential capability for autonomous robots operating in various critical applications such as fire fighting, and inspection. Performing autonomous coverage using a single robot system consumes time and energy. In pa
Externí odkaz:
https://doaj.org/article/20defacaef6d4430a2a1a24754e67b42
Autor:
Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Dongming Gan, Lakmal Seneviratne, Yahya Zweiri
Publikováno v:
IEEE Access, Vol 9, Pp 55853-55870 (2021)
Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based cameras sets a limitation on continuous visual feedback due to their low sampling rate, poor performance in low light c
Externí odkaz:
https://doaj.org/article/ede817802b7d45808097c0b42b762785
Publikováno v:
IEEE Access, Vol 9, Pp 76847-76874 (2021)
Vision-based localization systems, namely visual odometry (VO) and visual inertial odometry (VIO), have attracted great attention recently. They are regarded as critical modules for building fully autonomous systems. The simplicity of visual and iner
Externí odkaz:
https://doaj.org/article/715dfa1abf7542ab8e5058e7f5943aa2