Alireza Haji Fathaliyan
Papers
2
Total Citations
38
H-Index
2
About
Alireza Haji Fathaliyan is a researcher at the forefront of human-robot interaction, specializing in gaze-based control and shared autonomy systems. His work centers on leveraging three-dimensional eye-tracking to enable intuitive, non-verbal communication between humans and robots, particularly in collaborative and assistive contexts. His most cited paper, "Exploiting Three-Dimensional Gaze Tracking for Action Recognition During Bimanual Manipulation to Enhance Human–Robot Collaboration" (2018, 24 citations), demonstrates how gaze data can be used to recognize human actions and infer intent during complex bimanual tasks, paving the way for more responsive robotic partners. Building on this, his 2020 work "Toward Shared Autonomy Control Schemes for Human-Robot Systems: Action Primitive Recognition Using Eye Gaze Features" (14 citations) extends these principles to teleoperated robots designed to assist individuals with upper limb impairments, showing that gaze can serve as a natural, low-effort control signal for activities of daily living. Haji Fathaliyan’s contributions are significant for advancing assistive robotics and collaborative manufacturing, where seamless human-robot teamwork is critical. His research highlights the potential of gaze as a rich, intuitive interface for shared autonomy, offering a path toward more accessible and efficient robotic systems.
Research Focus
Key Achievements
Top Papers
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