Jyun-Jhen Li
Papers
1
Total Citations
5
H-Index
1
About
Jyun-Jhen Li is a robotics researcher whose work centers on autonomous navigation, simultaneous localization and mapping (SLAM), and intelligent vehicle systems. His most notable contribution is the development of an omnidirectional automated guided vehicle (AGV) that integrates ORB-SLAM with a laser rangefinder-constructed 2D environment map and a 3D point cloud map for robust navigation under the Robot Operating System (ROS) framework. This innovative fusion of mapping techniques enables precise, flexible movement in complex environments, advancing the practical deployment of AGVs in industrial and service settings. His 2023 paper on this topic has garnered 5 citations, reflecting growing interest in his approach to combining visual and laser-based SLAM for real-world applications. Li’s work is particularly valuable for researchers and engineers seeking to enhance autonomous mobility in constrained or dynamic spaces, demonstrating a clear path from theoretical SLAM methods to functional, omni-wheeled robotic platforms. His contributions underscore the importance of multi-sensor integration in achieving reliable, low-cost navigation solutions.
Research Focus
Key Achievements
Top Papers
- 1