Linan Dang
Papers
2
Total Citations
12
H-Index
2
About
Linan Dang is a robotics researcher whose work focuses on advancing the design and functionality of robotic hands, particularly in the area of underactuated grasping mechanisms. Her major contributions lie in the development of novel robot fingers that achieve hybrid grasping modes—combining parallel pinching and self-adaptive encompassing—through simplified, efficient transmission systems. Her most-cited paper, "COSA-LET finger: A novel coupled and self-adaptive robot finger with a linear empty-trip transmission" (2017, 9 citations), introduces a coupled and self-adaptive finger that overcomes the complexity and power consumption issues of traditional designs by employing a linear empty-trip transmission. This innovation reduces the number of springs and transmission mechanisms while maintaining effective grasping. Another notable work, "A Novel Robot Finger with a Rotating-Idle Stroke for Parallel Pinching and Self-adaptive Encompassing" (2017, 3 citations), further explores efficient hybrid grasping. Dang’s research is significant for its potential to enhance robotic dexterity and energy efficiency, making it relevant for applications in prosthetics, industrial automation, and human-robot interaction. Her work continues to inspire advancements in underactuated robotic hands.
Research Focus
Key Achievements
Top Papers
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