Dodi Zulherman

Gifu University

Papers

1

Total Citations

1

H-Index

1

About

Dodi Zulherman is a researcher at the forefront of agricultural robotics and intelligent control systems. His work focuses on enhancing the precision and reliability of robotic manipulators for delicate harvesting tasks, with a particular emphasis on soft fruit handling. Zulherman’s most notable contribution is the development of a hybrid control architecture that integrates Finite State Machines with Fuzzy Logic Control to significantly improve the accuracy of a tomato-handling robot gripper. This innovative approach allows the gripper to adapt its grip force and positioning in real-time, minimizing damage to fragile produce while maximizing operational efficiency. His seminal 2024 paper on this topic has already garnered early citations, signaling its growing influence in the field of precision agriculture. By bridging the gap between discrete state-based control and continuous fuzzy reasoning, Zulherman is helping to pave the way for more intelligent, adaptive, and damage-free robotic harvesting systems—a critical step toward sustainable, automated food production.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Combining Finite State Machine and Fuzzy Logic Control for Accuracy Enhancing Performance of a Tomato-Handling Robot Gripper
1 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Gifu University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago