Research output per year
Research output per year
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, Middlesex University
Award Date: 30 Nov 2021
Bachelor, 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
- Geo Sciences
- Autonomous Agent Systems
- Computer Vision
- Machine Learning: from Traditional Methods to Deep Neural Networks
- Mobility and Transport
- Smart and Service Industry
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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
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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 AccessFile3 Downloads (Pure) -
Evolution of SLAM: Toward the Robust-Perception of Autonomy
Udugama, U. V. B. L., 2023, ArXiv.org.Research output: Working paper › Preprint › Academic
Open Access -
Review of Deep Reinforcement Learning for Autonomous Driving
Udugama, U. V. B. L., Feb 2023, ArXiv.org.Research output: Working paper › Preprint › Academic
Open Access