Yu-hang Cheng
Papers
1
Total Citations
12
H-Index
1
About
Yu-hang Cheng is a researcher specializing in autonomous robot navigation, with a particular focus on simultaneous localization and mapping (SLAM) systems. His most cited work, "An Improved FastSLAM System Based on Distributed Structure for Autonomous Robot Navigation" (2014), addresses a critical bottleneck in mobile robotics: the computational explosion that occurs when feature points change in traditional FastSLAM algorithms. Cheng proposed a distributed structure that reconfigures the vehicle state equation more efficiently, significantly reducing exponential computational growth while maintaining localization accuracy. This contribution has garnered 12 citations and provides a practical pathway for deploying SLAM in real-time autonomous systems. His research bridges the gap between theoretical SLAM frameworks and real-world robotic applications, offering solutions that balance computational efficiency with navigational precision. For students and researchers exploring autonomous navigation, Cheng's work represents a key step toward scalable, distributed SLAM architectures that can handle dynamic environments—a fundamental challenge in field robotics.
Research Focus
Key Achievements
Top Papers
- 1