Shihua Li
Papers
1
Total Citations
23
H-Index
1
About
Shihua Li is a researcher specializing in robotics motion control, trajectory planning, and optimization algorithms, with a particular focus on improving the operational stability and efficiency of mechanical systems. His most notable work centers on the development of advanced trajectory planning methodologies for pointing mechanisms, where he introduced a novel hybrid interpolation algorithm combined with the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to optimize motion profiles in joint space. This research addressed a critical challenge in robotics: achieving continuous jerk profiles to enhance motion smoothness without the computational burden typically associated with higher-order polynomial or B-spline approaches. By integrating multi-objective optimization techniques, Li's work demonstrated a practical pathway to balancing competing performance criteria in mechanical system design. Published in 2020 and accumulating 23 citations, this contribution has garnered meaningful attention within the robotics and mechanical engineering communities, reflecting its relevance to both academic researchers and industrial practitioners working on precision motion systems. Li's research stands as a valuable resource for those seeking computationally efficient yet robust solutions to trajectory optimization problems in modern robotic and pointing mechanism applications.
Research Focus
Key Achievements
Top Papers
- 1