Papers

4

Total Citations

14

H-Index

3

About

Jingjie He is a researcher specializing in robotics, with a particular focus on camera robot kinematics, inverse kinematics, and motion control for film and television applications. Their major contributions include developing a model conversion algorithm from URDF to DH parameters for camera robots, enabling more flexible kinematic descriptions while retaining the advantages of DH for inverse solution control. He has also advanced inverse kinematic solutions for dual redundant camera robots using genetic algorithms, addressing operational difficulties and reducing computation time. Additionally, they proposed a position-level global optimization algorithm for redundant robots based on motion characteristics, and explored control schemas for camera robots capable of artistic creation, aiming to simplify trajectory planning and enable real-time adjustments. With several papers accumulating citations in the range of 2–4 each, He’s work is foundational in bridging robotic theory with practical cinematic applications, contributing to the automation and creative potential of camera robotics in special effects and film production.

Research Focus

Key Achievements

3
H-Index
4
Papers
14
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
A Model Conversion Algorithm from URDF to DH for Camera Robot
4 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: Beijing Academy of Artificial Intelligence, Beijing Film Academy

Top Papers

  1. 1
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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago