Adilet Sugirbay
S.Seifullin Kazakh Agro Technical University, Northwest A&F University
Papers
6
Total Citations
280
H-Index
6
About
Adilet Sugirbay is a leading researcher in agricultural robotics, with a focused expertise in the design and optimization of robotic apple harvesting systems. His work addresses critical challenges in precision agriculture, particularly in developing efficient, non-destructive harvesting methods. Sugirbay’s major contributions include the experimental and simulation-based analysis of optimum picking patterns, as demonstrated in his highly cited 2019 paper (74 citations), and the subsequent design and evaluation of a robotic apple harvester using those patterns (70 citations). He also pioneered the development of a simplified 4-DOF manipulator for rapid harvesting (62 citations), significantly advancing the field’s understanding of dynamic branch-stem-fruit interactions (46 citations). His comprehensive review of technological developments in robotic apple harvesters (22 citations) serves as a foundational resource for researchers. Notably, Sugirbay has also investigated fruit damage mitigation, quantifying damage factors for flexible end-effectors to improve picking performance. With over 280 total citations across his core publications, his work is instrumental in bridging simulation and real-world application, making him a key figure in the push toward fully automated, gentle, and high-speed fruit harvesting.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Simplified 4-DOF manipulator for rapid robotic apple harvesting62 citations · 2022
- 4
- 5TECHNOLOGICAL DEVELOPMENT OF ROBOTIC APPLE HARVESTERS: A REVIEW22 citations · 2020
- 6ASSESSMENT OF APPLE DAMAGE CAUSED BY A FLEXIBLE END-EFFECTOR6 citations · 2020