Papers

3

Total Citations

140

H-Index

3

About

Dr. Liangsheng Jia is a leading researcher in agricultural robotics, with a primary focus on intelligent systems for kiwifruit harvesting and orchard management. His work addresses critical challenges in precision agriculture, particularly in developing autonomous solutions for complex, unstructured environments. Dr. Jia’s most impactful contribution is his pioneering application of deep reinforcement learning for coverage path planning in kiwifruit picking robots, a paper that has garnered over 100 citations and set a new standard for efficient navigation in trellis orchards. He has also advanced robotic manipulation with a deep learning-based grasping detection method that overcomes the instability caused by fruit clustering, significantly improving harvest success rates. Furthermore, to solve the problem of low positioning accuracy in weak-signal orchard environments, Dr. Jia developed an integrated positioning system combining UWB, LiDAR, and odometry, achieving robust, real-time localization for mobile robots. With a growing citation record and a clear focus on translating AI and robotics into tangible agricultural tools, Dr. Jia’s work is foundational for the next generation of autonomous farming systems.

Research Focus

Key Achievements

3
H-Index
3
Papers
140
Total Citations
47
Avg Citations/Paper
🏆 Most Cited Paper
Coverage path planning for kiwifruit picking robots based on deep reinforcement learning
103 citations · 2022
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Northwest A&F University, Northwest Institute of Mechanical and Electrical Engineering

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago