Dulanga Weerakoon

Papers

Total Citations

H-Index

About

Dulanga Weerakoon is a researcher at the forefront of human-robot interaction, specializing in multi-modal instruction comprehension and real-time robotic systems. Their work focuses on bridging the gap between natural human communication and robotic understanding. Weerakoon’s major contribution is the development of systems like M2Gestic, which demonstrated that integrating naturally-generated pointing gestures with verbal commands significantly improves a robot’s ability to resolve ambiguous instructions. This foundational work, with 11 citations, established a new paradigm for more intuitive human-robot collaboration. Building on this, Weerakoon created COSM2IC, a system that optimizes multi-modal referring instruction comprehension for real-time, on-device execution—a critical step for deploying these models in practical, embodied agents. With a combined citation count of 20 for their most-cited papers, Weerakoon’s research is shaping how robots interpret complex, ambiguous human input, moving beyond simple commands to truly collaborative interaction. Their work is essential reading for anyone interested in the future of intuitive and efficient human-robot teamwork.