Papers

2

Total Citations

12

H-Index

2

About

Weidong Liang is a pioneering researcher in robotic grasping and intelligent manufacturing, with key contributions spanning underactuated robotic hand design and automated welding vision systems. His most notable work introduces the CLIS robot hand, featuring a novel LPSA (linearly parallel and self-adaptive) underactuated mode that combines Chebyshev linkage and idle stroke mechanisms. This innovation enables the distal phalange to perform linear translations—a critical capability for grasping objects on flat surfaces without manipulator motion—addressing a fundamental limitation of traditional parallel and self-adaptive grasping fingers. His 2017 paper on this topic has garnered 10 citations, reflecting its significance in advancing dexterous manipulation. In earlier work, Liang developed a robotic vision sensing system for aluminum alloy MIG welding, capturing and processing clear weld pool images to enable precise edge detection and real-time process control. This 2006 study, with 2 citations, laid groundwork for automated welding quality assurance. Liang’s research bridges mechanical design, control systems, and computer vision, offering practical solutions for industrial robotics. His achievements demonstrate a sustained commitment to enhancing robotic adaptability and precision in real-world applications.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
LPSA underactuated mode of linearly parallel and self-adaptive grasping in the CLIS robot hand with Chebyshev linkage and idle stroke
10 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Changzhou Vocational Institute of Light Industry, Institute of Agricultural Machinery

Top Papers

  1. 1
  2. 2
    Robotic vision sensing system for welding pool image taking and processing in aluminum alloy MIG welding process
    2 citations · 2006

Key Collaborators

Contact & Links

Available for collaboration
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