Vlatka Tolj

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About

Vlatka Tolj is a researcher at the intersection of human-robot interaction (HRI) and observational learning, with a focus on how robots can learn from and mimic human behavior. Her key research areas include gesture imitation, social robotics, and the integration of computer vision frameworks for enhanced human-robot communication. Tolj’s most notable contribution is the "University CopyCat Game" study (2024, 2 citations), which investigates gesture imitation using the EMAH robotic system, the anthropomorphic social robot Ameca, and Google’s MediaPipe Holistic framework. This work uniquely combines human pose, face, and hand detection to advance the interaction capabilities of social robots, enabling more natural and intuitive learning through observation. By demonstrating how robots can replicate human gestures in real-time, Tolj’s research paves the way for more adaptive and socially aware robotic systems. Her innovative integration of cutting-edge tools like MediaPipe with a lifelike robot like Ameca highlights her commitment to pushing the boundaries of HRI, making her work a valuable reference for students and researchers exploring observational learning and robot tutee dynamics.