Mariya Kilina

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About

Mariya Kilina is an emerging researcher specializing in Human-Robot Collaboration (HRC), with a particular focus on intent recognition, flexible task planning, and intuitive human-robot interaction. Her work addresses some of the most pressing challenges in collaborative robotics, seeking to make robots more responsive and adaptive partners in shared workspaces. Kilina's most notable contribution, "Gaze-Based Intention Recognition for Human-Robot Collaboration" (2024, 8 citations), introduces an innovative approach to recognizing human intent through gaze tracking in interactive assembly scenarios. By enabling robots to anticipate human actions in real time, this work represents a meaningful step toward more natural and seamless collaboration between humans and machines. Her complementary work, "A Modular Framework for Flexible Planning in Human-Robot Collaboration" (2024, 3 citations), further demonstrates her systems-level thinking, proposing a Hierarchical Task Network-based framework that models complex cooperative tasks through reusable primitives — making robotic planning more scalable and adaptable to real-world conditions. Though early in her career, Kilina's research is gaining traction within the robotics community. Students and researchers interested in cognitive robotics, assistive automation, or human-centered AI will find her work a valuable reference for building smarter, more collaborative robotic systems.