Bavantha Udugama

MSc

20172023

Research activity per year

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Personal profile

Research interests

My current research endeavors are aimed at advancing the field of UAV mapping through the integration of photogrammetric computer vision, deep learning, deep reinforcement learning, and robotics. The objective is to develop algorithms for reliable and autonomous real-time mapping capabilities for drones.

I am working towards creating autonomous drones that can perform complex tasks by combining autonomous navigation algorithms with 3D semantic understanding of the environment. The aim is to achieve advanced capabilities in various applications such as patrolling, search and rescue operations in both outdoor and indoor environments, and precision farming.

I am deeply passionate about the potential of this research and am committed to making a meaningful impact in the field of robotics. I believe that my efforts will lead to innovative solutions that can address real-world challenges and push the boundaries of what is possible.

Education/Academic qualification

Master, Heterogeneous Swarm robot system with Distributed data processing at the edge for collective transportation, Middlesex University

Award Date: 30 Nov 2021

Bachelor, Bachelor of Electrical and Electronics Engineering,Electrical and Electronics Engineering, University of Peradeniya

Award Date: 30 Oct 2018

Keywords

  • TK Electrical engineering. Electronics Nuclear engineering
  • Robotics
  • UAV
  • Deep learning
  • Deep reinforcement learning
  • Autonomous exploration

Artificial Intelligence Expert

  • Edge AI and Sensors
  • Autonomous Agent Systems
  • Computer Vision
  • Deep Learning
  • Reinforcement Learning
  • Geo Sciences

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