Sibo Huang
Papers
1
Total Citations
4
H-Index
1
About
Sibo Huang is a robotics researcher specializing in mobile robot perception, simultaneous localization and mapping (SLAM), and multi-sensor fusion for autonomous navigation. His work focuses on integrating heterogeneous sensor data to enable comprehensive environmental understanding in real-time robotic systems. In his most cited paper, "Synchronized 2D SLAM and 3D Mapping Based on Three Wheels Omni-directional Mobile Robot" (2019), Huang designed a three-wheeled omni-directional mobile robot (TOMR) and developed a novel method for concurrently constructing 2D grid maps and 3D environmental models. By fusing data from a laser rangefinder and a Kinect depth sensor, his approach achieves synchronized mapping across two spatial dimensions, significantly enhancing a robot's ability to navigate complex indoor environments. This work has accumulated 4 citations and demonstrates practical contributions to low-cost, multi-modal perception systems. Huang's research bridges the gap between 2D localization efficiency and 3D scene reconstruction, offering valuable insights for students and engineers working on autonomous mobile robots, sensor integration, and real-time mapping pipelines.
Research Focus
Key Achievements
Top Papers
- 1