B.L.U. Udugama Vithanage MSc (Bavantha)

As a seasoned Robotics Engineer with a passion for innovation, I bring a wealth of industry and research experience to the field. My expertise includes Humanoid Robotics, Machine Learning, Image Processing, SLAM, and Navigation with Advanced Control Systems, honed through my Master of Science in Robotics from Middlesex University.

At Expert Hub Robotics, I have served as a Senior Robotics Engineer and Project Lead, showcasing my skills in configuring SLAM and navigation systems on humanoid robots, designing custom attachments, developing AI-based Chatbot applications, and executing specialized software implementations. My experience also extends to the VLSI industry, where I worked as a Corporate Application Engineer and was involved in complex customer feature validation, product development, and hierarchical CDC flow validation.

My commitment to excellence has been recognized through several awards, including the Best Undergraduate Project Award from the IESL and the Best Technical Paper Award from the IET. With a desire to make a meaningful impact, I am eager to bring my industry expertise to the research field and contribute to the ongoing advancements in robotics.

Expertises

• Computer Science

  • Environment Mapping
  • Graph Construction
  • Range Finder
  • Deep Reinforcement Learning
  • simultaneous localization and mapping

• Earth and Planetary Sciences

  • Autonomy
  • Cartography
  • Position (Location)

Organisaties

Publicaties

Onderzoeksprofielen

Master of Science in Robotics,

• Middlesex University

Bachelor of Electrical and Electronics Engineering, 

• University of Peradeniya

Verbonden aan opleidingen

Lopende projecten

Op weg naar autonome en realtime UAV-mapping

Voltooide projecten

MONO-HYDRA: REAL-TIME 3D SCENE GRAPH CONSTRUCTION FROM MONOCULAR CAMERA INPUT WITH IMU

Vision-based mobile robot for reconnaissance

The objective was to create a 3D map of an unknown environment. It was tackled in 3 main fronts as a 3D- Vision system, an intelligent navigation system (INS) and holonomic robot platform with the localization algorithm. The vision system was developed at the basic level through fashioning two web cameras as a stereo camera pair. Laser ranging was used as the sensing method and a 2D map of the environment was obtained through the efficient guidance of the intelligent navigation system. A particle filter-based SLAM algorithm was implemented for the task localization a Kinect sensor was interfaced with the system for the task of extending the map to 3D.

Adres

Universiteit Twente

Langezijds (gebouwnr. 19), kamer 2305
Hallenweg 8
7522 NH Enschede

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Organisaties