Maksim V. Khegai
Papers
1
Total Citations
3
H-Index
1
About
Maksim V. Khegai is a researcher whose work lies at the intersection of robotics, human-computer interaction, and knowledge representation. His primary research areas include ontology-based systems for human-robot interaction, adaptive control interfaces, and the development of intelligent robotic frameworks. Khegai’s most notable contribution is his 2018 paper, "Ontology-Based Human-Robot Interaction: An Approach and Case Study on Adaptive Remote Control Interface," which has garnered 3 citations. In this work, he introduced a novel approach to designing adaptive remote control interfaces that leverage ontological models to enhance communication between humans and robots, enabling more intuitive and context-aware interactions. This research is particularly significant for applications in teleoperation and assistive robotics, where flexibility and user adaptability are critical. While his citation count is modest, Khegai’s work represents a foundational step in integrating semantic technologies into robotic control systems, offering a framework that can be built upon for future advancements in human-robot collaboration. His contributions are valuable for students and researchers exploring the synergy between artificial intelligence and robotics.
Research Focus
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Top Papers
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