Papers

1

Total Citations

62

H-Index

1

About

Dr. Yongjun Xu is a leading researcher in agricultural robotics and intelligent optimization, with a primary focus on autonomous fruit harvesting systems. His most impactful work addresses a critical bottleneck in agricultural automation: achieving stable, efficient, and non-destructive fruit picking. Dr. Xu’s major contribution lies in the development of advanced multi-objective trajectory planning algorithms for robotic manipulators. His highly cited 2021 paper, "A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator," has garnered over 60 citations, establishing a foundational framework for optimizing manipulator paths to balance speed, energy efficiency, and the delicate handling required to prevent fruit bruising. By integrating multi-objective optimization with swarm intelligence, Dr. Xu has provided a practical solution to a long-standing technical challenge in precision agriculture. His work is instrumental in bridging the gap between theoretical robotics and real-world agricultural applications, directly influencing the design of smarter, more reliable harvesting robots. Dr. Xu’s research continues to drive innovation toward fully automated, lossless fruit picking systems, making him a key figure in the evolution of smart farming technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
62
Total Citations
62
Avg Citations/Paper
🏆 Most Cited Paper
A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator
62 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Guangdong Polytechnic of Industry and Commerce

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago