Papers

3

Total Citations

54

H-Index

2

About

Jinye Jiang is a leading researcher in the field of robotic excavation and construction automation, with a primary focus on intelligent trajectory planning and advanced control systems for heavy machinery. Their most significant contribution lies in the development of multi-objective optimization frameworks for robotic excavators, as demonstrated in their highly cited 2023 work on "Multi-objective time-energy-impact optimization for robotic excavator trajectory planning," which has garnered 38 citations. This research addresses the critical challenge of balancing operational efficiency, energy consumption, and mechanical impact in autonomous excavation tasks. Jiang has also made substantial advances in friction compensation control, publishing a 2024 study on "Friction compensation control method for a typical excavator system based on the accurate friction model" (14 citations), which provides a precise modeling approach to mitigate friction-induced inaccuracies in hydraulic systems. Their work directly impacts the development of more reliable, energy-efficient, and precise autonomous construction equipment. With a growing citation record and pioneering contributions to both optimization and control methodologies, Jinye Jiang is establishing themselves as a key figure in the transition toward fully automated heavy machinery in civil engineering and robotics.

Research Focus

Key Achievements

2
H-Index
3
Papers
54
Total Citations
18
Avg Citations/Paper
🏆 Most Cited Paper
Multi-objective time-energy-impact optimization for robotic excavator trajectory planning
38 citations · 2023
📈 Most Prolific Year: 2023 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Nanjing University of Information Science and Technology

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago