Shuo-Tsung Chen
Papers
1
Total Citations
12
H-Index
1
About
Dr. Shuo-Tsung Chen is a leading researcher in intelligent robotics and sensor fusion, with a primary focus on developing autonomous systems for service and cleaning robots. His most-cited work, "High-Efficiency Automatic Recharging Mechanism for Cleaning Robot Using Multi-Sensor" (2018, 12 citations), addresses a critical bottleneck in domestic robotics: the ability for a cleaning robot to autonomously and efficiently return to its charging station when power is low. By integrating multiple sensors with the robot's motor control, Chen proposed a mechanism that significantly reduces recharging time and improves operational reliability. This contribution is especially impactful given that cleaning robots hold the highest penetration rate among service robots, making efficiency gains in this area highly valuable for both industry and everyday users. Chen’s work exemplifies how practical, sensor-driven solutions can enhance the autonomy and user experience of consumer robotics, positioning him as a key innovator in the field of intelligent automation.
Research Focus
Key Achievements
Top Papers
- 1