Intelligent robotic systems, control theory, Reinforcement Learning and machine learning.

Integrates computer vision, AR, and cloud-based communication to create a real-time 3D map of a robot's surroundings for an immersive indoor robot control experience, with 1 cm accuracy depth estimation using Microsoft Kinect V2 and semantic segmentation.
A wheel-configurable modular research platform for electric wheelchair caster wheel motion dynamics analysis, supporting 212 wheel configurations across three major wheelchair types, recognized with the 🏆 Best Poster Award at ICIPRoB 2026.

A adaptive navigation framework for transformer robots in warehouse environments, integrating overhead camera perception, binary segmentation, and a shape-aware A* algorithm to determine optimal robot configurations through narrow passages.

Currently writing a paper for submission to the International Conference on Robotics and Automation (ICRA) 2027, focusing on advanced robotics research. Full citation will be available upon IEEE publication.
Prof. A.G.B.P. Jayasekara
Head of Department, Electrical Engineering
University of Moratuwa
Prof. D. P. Chandima
Research Supervisor
University of Moratuwa
Intelligent Service Robotics Group
Research Group
University of Moratuwa

Dr. M. A. Viraj J. Muthugala
Research Fellow
Singapore University of Technology and Design (SUTD)