Eranda Lakshantha

Monash University Malaysia, Monash University

Papers

Total Citations

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About

Eranda Lakshantha is a robotics researcher dedicated to making human-robot interaction (HRI) as natural and intuitive as possible. His core research focuses on developing frameworks that allow non-experts to control and program complex robots without specialized training. Lakshantha’s major contribution lies in pioneering the use of marker-less Augmented Reality (AR) for HRI, a significant advancement over marker-based systems that require instrumented environments. His 2014 paper, "Towards A Human Robot Interaction Framework with Marker-less Augmented Reality and Visual SLAM," demonstrates how robots can operate seamlessly in unknown or unprepared spaces, a critical step for real-world deployment. Further expanding this vision, his 2016 work, "A diagrammatic framework for intuitive human robot interaction," introduces a diagram-based control system that, combined with AR, provides a reliable and accurate interface for users. While his most-cited papers have garnered 4 citations each, their conceptual impact is notable for laying the groundwork for accessible, visual robot programming. Lakshantha’s research directly addresses the challenge of bridging the gap between complex robotic systems and everyday users, making him a key voice in the future of personal robotics.