Lakmal Seneviratne
Khalifa University
388 Papers
2.2K Citations
Lakmal Seneviratne is an academic researcher from Khalifa University. The author has contributed to research in topics: Computer science & Robot. The author has an hindex of 46, co-authored 364 publications. Previous affiliations of Lakmal Seneviratne include King's College London & KAIST.
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Papers
MarineX: Design and Implementation of Unmanned Surface Vessel for Vision Guided Navigation
Muhayy Ud Din,Muhammad Ahmed Humais,Waseem Akram,Mohamed Alblooshi,Lyes Saad Saoud,Abdelrahman A. Alblooshi,Lakmal Seneviratne,Irfan Hussain +7 more
TL;DR: The design and implementation of a USV named marine, featuring a vision-based object tracking algorithm that empowers marine to autonomously track and monitor specific objects on the water surface, and comprehensive testing is conducted.
A stiffness probe based on force and vision sensing for soft tissue diagnosis
Jichun Li,Hongbin Liu,Kaspar Althoefer,Lakmal Seneviratne +3 more
- 01 Aug 2012
TL;DR: Results show that the probe can perform stiffness measurement effectively when the probe indents or slides on the tissue surface, and was validated by experiments on multiple materials including silicone phantoms and pork organs.
CM-UNet: ConvMixer UNet for Segmentation of Unknown Objects in Cluttered Scenes
Xiaoqian Huang,Rana Azzam,Sajid Javed,Dongming Gan,Lakmal Seneviratne,Abdelqader Abusafieh,Yahya Zweiri +6 more
TL;DR: In this article , a ConvMixer-based UNet model is designed to enhance the segmentation mask and boundary of unknown objects appearing in cluttered scenes, leveraging the object's semantic and localization information, which are essential for successful segmentation.
Additive Manufacturing of Porous Structures for Unmanned Aerial Vehicles Applications
Helge Klippstein,Hany Hassanin,Alejandro Diaz De Cerio Sanchez,Yahya Zweiri,Lakmal Seneviratne +4 more
TL;DR: In this paper, a novel design process of fused deposition modeling (FDM) combining both topology and infill optimization is introduced for AM of high performance porous structures, which gives the designers a large amount of geometrical freedom.
Proprioception and Exteroception of a Soft Robotic Finger Using Neuromorphic Vision-Based Sensing.
O. Faris,Rajkumar Muthusamy,Federico Renda,Irfan Hussain,Dongming Gan,Lakmal Seneviratne,Yahya Zweiri +6 more
TL;DR: The results show that the proposed approach can enable complete sensorization of the finger for both proprioception and exteroception using a single camera without negatively affecting the finger compliance.