Papers
5
Total Citations
36
H-Index
4
About
Denis Ivanko is a researcher at the forefront of human-robot interaction (HRI), specializing in multimodal communication systems that bridge the gap between humans and machines. His work centers on developing accessible, intuitive interfaces that integrate sign language recognition, lip-reading, and automatic speech recognition, with a particular focus on enabling robots to understand natural human speech in challenging environments. Ivanko’s most cited paper, “Human-Robot Interaction with Smart Shopping Trolley Using Sign Language: Data Collection” (2019, 17 citations), introduces a groundbreaking concept for a smart robotic trolley equipped with a multimodal user interface, including sign language and acoustic speech recognition, alongside a touchscreen. This work highlights significant advances in hand gesture and speech recognition technologies. His subsequent research, such as “End-to-end Visual Speech Recognition for Human-Robot Interaction” (2022, 4 citations), proposes a novel method for word-level visual speech recognition, aiming to enhance the quality of human-machine interaction. Ivanko’s contributions also extend to space applications, as seen in his work on augmentative communication for lunar base habitability. With a growing citation record, Ivanko is recognized for pushing the boundaries of accessible, real-time HRI systems.
Research Focus
Key Achievements
Top Papers
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- 4End-to-end Visual Speech Recognition for Human-Robot Interaction4 citations · 2022
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