Papers
1
Total Citations
2
H-Index
1
About
Muyi Bao is a rising researcher at the intersection of assistive robotics and human-robot interaction, with a primary focus on developing socially intelligent robots for vulnerable populations. Their most notable contribution is the pioneering concept of "Visual-Based Hearing-Dog Robots," introduced in their 2023 paper of the same name. This work proposes a novel robotic system designed to assist individuals with hearing impairments by using visual cues—rather than traditional audio-based alerts—to detect and communicate environmental sounds, such as alarms or approaching vehicles. By integrating computer vision and robotic mobility, Bao’s research aims to replicate and enhance the functions of a hearing dog, making assistive technology more accessible and scalable. Though early in their career, with their flagship paper already garnering 2 citations, Bao’s work signals a meaningful shift toward inclusive, non-auditory robotic aids. Their research holds promise for improving life adaptation and independence for the hearing-impaired community, and positions Bao as an emerging voice in socially assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Visual-Based Hearing-Dog Robots For Users With Hearing Impairment2 citations · 2023