Papers

3

Total Citations

13

H-Index

2

About

Dr. Jixin Liang is a rising expert in intelligent robotics and 3D vision, specializing in the integration of structured light sensing, deep learning, and robotic manipulation for industrial automation. His major contributions include the development of a high-efficiency automated triaxial robot grasping system for motor rotors, leveraging 3D structured light sensors to achieve precise, flexible pick-and-place operations—a breakthrough over traditional teachable robotic arms. This work, published in 2024, has already garnered 6 citations, reflecting its immediate relevance to manufacturing. Liang also advanced food package recognition and sorting with a vision-based system that combines structured light and deep learning, enabling real-time object identification and adaptive grasping (5 citations). Most recently, he pioneered a high-precision underwater turbidity removal technique using division-of-focal-plane polarization for 3D reconstruction, addressing a critical challenge in aquatic environments (2 citations). His research consistently pushes the boundaries of robotic perception and autonomy, offering scalable solutions for logistics, underwater inspection, and smart factories. With a clear trajectory of innovation and growing citation impact, Liang is a promising voice in the next generation of automated systems.

Research Focus

Key Achievements

2
H-Index
3
Papers
13
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
High-efficiency automated triaxial robot grasping system for motor rotors using 3D structured light sensor
6 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Southern University of Science and Technology, Chinese Academy of Sciences

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago