Papers
1
Total Citations
12
H-Index
1
About
Dr. Zhiyuan Tang is a leading researcher in service robotics, with a particular focus on intelligent cleaning robots and multi-sensor integration. His most cited work, "High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor" (2018), addresses a critical challenge in autonomous robotics: ensuring efficient and reliable self-charging. By proposing a novel mechanism that combines the robot's motor control with multiple sensors, Dr. Tang's research enables cleaning robots to detect low power and autonomously return to their charging stations in minimal time. This contribution has garnered 12 citations, reflecting its practical significance in enhancing the autonomy and user convenience of service robots—a sector where cleaning robots boast the highest market penetration. Dr. Tang's work stands out for its direct application to real-world problems, bridging the gap between sensor technology and robotic efficiency. His research not only advances the field of autonomous navigation but also supports the broader adoption of service robots in everyday environments, making him a notable figure in applied robotics.
Research Focus
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Top Papers
- 1