Boyang Wang
Papers
1
Total Citations
5
H-Index
1
About
Boyang Wang is a robotics researcher whose work centers on embedded systems, simultaneous localization and mapping (SLAM), and computer vision for autonomous navigation. His most-cited paper, "Embedded Mobile ROS Platform for SLAM Application with RGB-D Cameras" (2020), addresses the critical challenge of indoor robot localization without GPS, leveraging advances in machine learning and sensor technologies to create practical, vision-based mapping solutions. By integrating RGB-D cameras with the Robot Operating System (ROS) on embedded platforms, Wang demonstrates how compact, cost-effective systems can achieve reliable real-time navigation—a key enabler for service robots, drones, and autonomous vehicles in GPS-denied environments. With 5 citations, this work highlights his contribution to bridging theoretical SLAM algorithms with deployable hardware. Wang’s research is particularly relevant for students and engineers seeking to understand how modern computer vision and embedded computing converge to solve real-world robotics problems, making autonomous indoor exploration more accessible and efficient.
Research Focus
Key Achievements
Top Papers
- 1Embedded Mobile ROS Platform for SLAM Application with RGB-D Cameras5 citations · 2020