Papers
3
Total Citations
32
H-Index
3
About
Zhongqing Li is a robotics researcher whose work focuses on the intersection of agricultural automation, robotic manipulation, and human-robot interaction. His key research areas include autonomous navigation in unstructured environments, lightweight robotic arm design, and bipedal locomotion stability. Li’s most impactful contribution is his 2024 paper on robot path planning in orchard environments, which has garnered 22 citations. This work addresses a critical challenge in agricultural robotics by introducing a navigation method based on point cloud maps, utilizing pass-through filtering and PCA algorithms to enable reliable robot movement in complex orchard settings. His 2025 paper on a lightweight robotic arm featuring a load-adaptive hoisting mechanism—integrating a spring-loaded rope and variable radius reel—demonstrates innovative design for efficient, minimal-structure manipulation. Earlier in his career, Li explored gait stabilization for biped robots using augmented reality and the Zero Moment Point concept, showcasing his versatility across robotic domains. With a growing citation record and a clear focus on practical, real-world applications, Li’s research is particularly relevant for students and engineers working on field robotics, adaptive mechanisms, and autonomous systems in challenging environments.
Research Focus
Key Achievements
Top Papers
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