Papers
2
Total Citations
10
H-Index
2
About
Hua Kuang is a robotics researcher specializing in human-robot interaction, speech recognition, and intelligent mobile systems. Their work focuses on integrating advanced signal processing and pattern recognition algorithms to create more intuitive and autonomous robotic platforms. Kuang’s most notable contribution is the development of a tour guide robot system that combines RFID technology with a Viterbi algorithm-based Hidden Markov Model (HMM) for speech recognition, enabling voice-controlled navigation and guide functionalities. This work, published in 2014, has garnered 8 citations and demonstrates a practical application of omni-directional mobile robotics in real-world settings. Additionally, Kuang explored dynamic time warping (DTW)-based speech recognition for controlling omnidirectional robots, further advancing the field of voice-activated robotics. These contributions highlight Kuang’s expertise in bridging speech processing and mobile robotics, with potential applications in assistive technology, public service robots, and smart environments. Their research underscores a commitment to making robots more accessible and responsive to human commands, paving the way for more natural human-robot collaboration.
Research Focus
Key Achievements
Top Papers
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- 2