Lingling Chen
Papers
1
Total Citations
5
H-Index
1
About
Lingling Chen is a robotics researcher whose work centers on mobile robot systems, motion planning, and autonomous navigation. Her most recognized contribution lies in the development of path planning methodologies for tractor-trailer wheeled mobile robots — mechanically complex systems comprising a tractor unit coupled with multiple trailers. In her influential 2008 paper, Chen addressed one of the fundamental challenges inherent to such systems: the dynamic variation in path width as a function of turning angle, which significantly complicates trajectory computation. By introducing the concept of an equivalent size framework grounded in rigorous kinematic modeling, she provided a more tractable and elegant approach to navigating these multi-body robotic configurations through constrained environments. This contribution has garnered 5 citations, reflecting its value within the specialized robotics community working on nonholonomic systems and articulated vehicle control. Chen's research speaks to the broader challenge of enabling intelligent, physically realistic motion for robots that mirror real-world vehicle configurations — work with clear implications for autonomous logistics, agricultural automation, and industrial transport systems where articulated vehicles must operate reliably in complex spatial conditions.
Research Focus
Key Achievements
Top Papers
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