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
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 2 Zero Hunger
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Collaborations and top research areas from the last five years
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Autonomous exploration planning strategy for a reconnaissance agent
Thelasingha, N., Ekanayake, S., Udugama, B., Godaliyadda, G. M. R. I., Ekanayake, M. P. B., Samaranayake, B. G. L. T. & Wijayakulasooriya, J. V., 22 Feb 2018, 2017 IEEE International Conference on Industrial and Information Systems, ICIIS 2017 - Proceedings. IEEE, p. 1-6 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
2 Link opens in a new tab Citations (Scopus) -
Laser Ranging Based Intelligent System for Unknown Environment Mapping
Thelasingha, N., Udugama, U. V. B. L., Ekanayake, S., Godaliyadda, G. M. R. I., Ekanayake, M. P. B., Samaranayake, B. G. L. T. & Wijayakulasooriya, J. V., Oct 2017, Laser Ranging Based Intelligent System for Unknown Environment Mapping. Manatunge, J. (ed.). 2017 ed. Sri Lanka, Vol. IESL Transactions . p. 411-419 9 p. iesl/pub/186Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open Access -
Object Dimension Extraction for Environment Mapping with Low Cost Cameras Fused with Laser Ranging
Ekanayake, S., Thelasingha, N., Udugama, U. V. B. L., Godaliyadda, G. M. R. I., Ekanayake, M. P. B., Samaranayake, B. G. L. T. & Wijayakulasooriya, J. V., 2017, Object Dimension Extraction for Environment Mapping with Low Cost Cameras Fused with Laser Ranging. 2017 - IET- Sri Lanka Network ed. Sri Lanka: Institution of Engineering and Technology (IET), Vol. Annual Conference 2017 . 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Open AccessFile36 Downloads (Pure) -
M2H: Multi-task learning with efficient window-based cross-task attention for monocular spatial perception
Udugama, U. V. B. L., Vosselman, G. & Nex, F. C., 20 Oct 2025, ArXiv.org, 8 p.Research output: Working paper › Preprint › Academic
Open AccessFile -
Evolution of SLAM: Toward the Robust-Perception of Autonomy
Udugama, U. V. B. L., 2023, ArXiv.org.Research output: Working paper › Preprint › Academic
Open AccessFile430 Downloads (Pure)