Maleen Jayasuriya

Papers

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About

Maleen Jayasuriya is a rising researcher at the forefront of human-robot interaction (HRI), whose work is redefining how humans and machines collaborate. His primary research areas span social robotics, skill-based control systems, and predictive human motion modeling. Jayasuriya’s most impactful contribution is his seminal work on **reframing Social Presence for HRI**, which challenges traditional user-centric models by introducing the concept of *Attributed Social Presence*. This paper has already garnered **7 citations** since its 2025 publication, signaling its foundational influence on the field. In parallel, he has advanced practical collaboration through a **3D vector field and gaze data fusion framework** for hand motion intention prediction, enabling safer and more intuitive human-robot collaboration (HRC) with low computational overhead. Jayasuriya also bridges theory and application by developing **Capabilities2 for ROS2**, a modern skill-based control architecture that solves a decade-old technical hurdle in making robots “app-able.” With a growing citation footprint and a clear trajectory toward both conceptual innovation and real-world deployment, Jayasuriya is establishing himself as a key architect of the next generation of socially aware, responsive robotic systems.