Papers
4
Total Citations
59
H-Index
2
About
Yonglin Zhang is a pioneering researcher in the fields of intelligent agricultural robotics and smart materials for automation. His work uniquely bridges soft robotics and precision agriculture, with a focus on developing adaptive mechanisms for grain storage and handling. Zhang’s most cited paper, "A compliant robotic grip structure based on shape memory polymer composite" (2022, 47 citations), introduces a novel gripper that leverages shape memory polymers to achieve compliant, adaptive grasping—a breakthrough for delicate or variable-load handling in automated systems. He also made significant contributions to wireless power transfer with his 2021 study on a flexible multi-output WPT system (9 citations), enabling simultaneous power delivery to multiple receivers for applications like logistic sorting robots and wireless office tables. In agricultural engineering, Zhang’s genetic algorithm-based path planning for grain leveling robots (2024) and his research on a drill-in granary grain condition detector (2022) demonstrate his commitment to automating grain storage operations, reducing labor intensity, and improving real-time monitoring. With a growing citation impact, Zhang is establishing himself as a key innovator at the intersection of compliant robotics, wireless power, and smart agriculture.
Research Focus
Key Achievements
Top Papers
- 1A compliant robotic grip structure based on shape memory polymer composite47 citations · 2022
- 2
- 3Genetic algorithm-based path planning for grain leveling robot2 citations · 2024
- 4