Juyuan Teng
Papers
1
Total Citations
4
H-Index
1
About
Juyuan Teng is a researcher in agricultural robotics, with a focus on intelligent harvesting systems and energy-efficient automation. Their most cited work, "Harvesting sequence planning of a harvesting robot based on the principle of minimum energy consumption" (2018, 4 citations), introduces a novel method for optimizing the motion of citrus harvesting robots. By applying the principle of minimum energy consumption, Teng developed a dynamic planning algorithm that intelligently selects inverse kinematics solutions, reducing mechanical strain and energy use during fruit picking. This contribution addresses a critical bottleneck in agricultural robotics: the need for real-time, efficient path planning in unstructured environments. While their citation count is modest, Teng's work represents a foundational step toward more autonomous and sustainable farming technologies. Their research bridges robotics, optimization theory, and precision agriculture, offering practical solutions for reducing operational costs in fruit harvesting. For students and researchers interested in the intersection of robotics and agriculture, Teng's work provides a clear example of how energy-aware algorithms can enhance the performance of autonomous systems in real-world applications.
Research Focus
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Top Papers
- 1