Papers
1
Total Citations
69
H-Index
1
About
Mingyuan Wu is a leading researcher in robotics and autonomous systems, with a primary focus on sensing technologies for indoor autonomous mobile robots (AMRs). Their most-cited work, "A Review of Sensing Technologies for Indoor Autonomous Mobile Robots" (2024, 69 citations), provides a comprehensive synthesis of sensor-based perception methods critical for robot navigation and environmental understanding. This review has become an essential reference for both academia and industry, highlighting Wu’s ability to bridge foundational research with practical applications. By systematically analyzing how sensors extract environmental and self-state information, Wu has advanced the development of more reliable and efficient AMRs. Their contributions are particularly influential in addressing the fundamental challenge of enabling robots to operate autonomously in complex indoor settings. With a growing citation impact, Mingyuan Wu’s work continues to shape the trajectory of mobile robotics, offering valuable insights for students and researchers exploring sensor integration, perception algorithms, and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1A Review of Sensing Technologies for Indoor Autonomous Mobile Robots69 citations · 2024