Papers

2

Total Citations

10

H-Index

2

About

Jinyun Sun is a robotics researcher whose work bridges 3D perception and modular self-assembling systems. In their most cited work, "Triangular mesh construction based on point cloud matrix and edge feature extraction" (2016, 7 citations), Sun developed a method to construct 3D laser scanners using a one-dimensional pitching rotation pan-tilt combined with a 2D laser range finder. This innovation enabled the capture of 3D point cloud data from dynamic environments, and they proposed a triangular mesh construction algorithm based on a point cloud matrix to accurately model these environments. This contribution is foundational for autonomous navigation and environmental mapping. Sun also made notable strides in modular robotics with the "360botG2" (2015, 3 citations), an improved unit for a mobile self-assembling modular robotic system. Each module features two continuous rotational degrees of freedom, enabling both self-locomotion and flexible reconfiguration—critical for real-world exploration tasks. This work demonstrates Sun’s focus on practical, deployable robotic systems. With a citation count reflecting foundational contributions, Sun’s research is valuable for students and engineers interested in 3D sensing, point cloud processing, and modular robotics for exploration.

Research Focus

Key Achievements

2
H-Index
2
Papers
10
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Triangular mesh construction based on point cloud matrix and edge feature extraction
7 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Shenyang Institute of Automation, University of Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago