Papers
10
Total Citations
135
H-Index
7
About
Dr. Aiping Li is a leading researcher in robotics, with a primary focus on the kinematics, trajectory planning, and optimization of collaborative and industrial robotic systems. Her most significant contributions lie in the domain of multi-manipulator welding robots, where she has developed novel methodologies for trajectory planning that simultaneously minimize energy consumption and operational time, as evidenced by her highly cited works from 2019 and 2020, which have collectively garnered over 65 citations. Dr. Li’s research extends to robot workcell layout optimization using genetic algorithms, path planning for complex spray painting tasks in ship manufacturing, and the innovative application of knowledge graphs as a "robot brain" for enhanced machine cognition. Her work on gait analysis for powered bionic lower prostheses demonstrates a commitment to advancing human-robot interaction in biomedical applications. With a career spanning from foundational layout optimization in 2009 to cutting-edge AI integration in 2021, Dr. Li’s research portfolio, totaling over 130 citations, showcases a sustained impact on both industrial automation and intelligent robotic systems, making her a pivotal figure in modern robotics engineering.
Research Focus
Key Achievements
Top Papers
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- 3Genetic Algorithm for Robot Workcell Layout Problem13 citations · 2009
- 4A Novel Encoder-Decoder Knowledge Graph Completion Model for Robot Brain11 citations · 2021
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- 7Gait analysis of powered bionic lower prosthesis10 citations · 2010
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