Lemiao Qiu
Papers
2
Total Citations
14
H-Index
2
About
Lemiao Qiu is a researcher whose work centers on robotics, with a particular focus on motion planning, path smoothing, and the optimization of robotic task execution. Her key contributions address critical challenges in autonomous navigation and industrial automation, specifically improving the efficiency, safety, and computational feasibility of robot operations. In her 2022 study, she developed an enhanced approach for the joint configuration of robots performing repetitive tasks, offering a more streamlined method for kinematic optimization. Her most impactful work, a 2023 paper on a multiobjective path-smoothing algorithm, tackles persistent problems in mobile robotics—such as high time consumption, poor security, and excessive computational complexity in global path planning. By introducing a path point adjustment algorithm and a novel turn-smoothing method, Qiu’s research provides a practical solution that balances multiple objectives, enhancing both the smoothness and safety of robot trajectories. With each of her top-cited papers garnering 7 citations, Qiu’s work is gaining recognition for its direct applicability to real-world robotic systems, marking her as an emerging voice in the field of intelligent robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2