Ze Lei

Wuhan University of Science and Technology

Papers

Total Citations

H-Index

About

Ze Lei is a researcher in artificial intelligence and human-computer interaction, with a particular focus on multimodal control systems. His most cited work, "Artificial robot navigation based on gesture and speech recognition" (2014), has garnered 11 citations and explores the integration of speech and gesture inputs to enable intuitive robot navigation. This research addresses a key challenge in human-robot interaction: creating seamless, natural interfaces that allow users to control devices without traditional hardware. Lei's contributions lie in demonstrating how combining multiple input modalities can enhance the flexibility and accessibility of robotic systems, paving the way for more adaptive assistive technologies. His work is notable for its practical application in artificial navigation, offering a foundation for future developments in smart environments and autonomous systems. Though his citation count is modest, Lei's research represents an early step toward more responsive, human-centered AI interfaces.