Papers
1
Total Citations
5
H-Index
1
About
Lan Ye is a robotics researcher whose work focuses on advancing trajectory planning and control for redundant manipulators, particularly within open-source frameworks. Their most-cited paper, "Trajectory planning of 7-DOF redundant manipulator based on ROS platform" (2020, 5 citations), addresses a critical challenge in robotics: the complexity and inflexibility of traditional simulation platforms. By leveraging the Robot Operating System (ROS), Ye developed a more accessible and versatile approach to modeling and planning trajectories for seven-degree-of-freedom manipulators, integrating SolidWorks-based design with ROS’s modular architecture. This work bridges the gap between simulation and real-world application, offering a scalable solution for researchers and engineers working on redundant robotic arms. While their citation count reflects an emerging career, Ye’s contributions are notable for their practical emphasis on open-source tools, which lower barriers to entry in robotics research. Their focus on redundant manipulators—robots with more degrees of freedom than necessary—has implications for dexterous tasks in manufacturing, healthcare, and autonomous systems. As the field increasingly adopts ROS, Ye’s foundational work positions them as a contributor to more efficient, customizable robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Trajectory planning of 7-DOF redundant manipulator based on ROS platform5 citations · 2020