Lin Xie

About

Lin Xie is a researcher specializing in warehouse automation, robotic systems, and operational optimization, with a particular focus on Robotic Mobile Fulfillment Systems (RMFS). Her work sits at the intersection of logistics engineering, multi-agent systems, and simulation, addressing the growing demands of modern e-commerce warehousing. Xie's most significant contribution is her investigation of split orders and operational policy optimization in RMFS environments, which has garnered 111 citations and stands as a landmark paper in the field. This work, along with her development of RAWSim-O — a dedicated simulation framework for RMFS — has provided researchers and practitioners with both theoretical foundations and practical tools for designing more efficient automated warehouses. Her research spans critical subproblems including path planning for multi-robot coordination, pod repositioning strategies, and efficient order picking methods, collectively accumulating over 190 citations. Beyond warehouse robotics, Xie has also contributed to humanoid robotics, exploring biomechanically-informed falling motion control to improve robot safety. Her efforts to bridge simulation and real-world deployment demonstrate a commitment to translating academic insight into industrial application. For students entering robotics or supply chain automation, Xie's body of work offers an exceptionally comprehensive and practically grounded research foundation.

Research Focus

Key Achievements

Top Papers

1. 1
   Introducing split orders and optimizing operational policies in robotic mobile fulfillment systems

   111 citations · 2020
2. 2
   RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

   19 citations · 2017
3. 3
   A falling motion control of humanoid robots based on biomechanical evaluation of falling down of humans

   13 citations · 2015
4. 4
   Path planning for Robotic Mobile Fulfillment Systems

   12 citations · 2017
5. 5
   From Simulation to Real-World Robotic Mobile Fulfillment Systems

   11 citations · 2018
6. 6
   RAWSim-O: A Simulation Framework for Robotic Mobile Fulfillment Systems

   10 citations · 2017
7. 7
   Efficient Order Picking Methods in Robotic Mobile Fulfillment Systems

   9 citations · 2019
8. 8
   Deterministic Pod Repositioning Problem in Robotic Mobile Fulfillment Systems

   9 citations · 2018
9. 9
   From Simulation to Real-World Robotic Mobile Fulfillment Systems.

   6 citations · 2018
10. 10
    Multi-Agent Path Finding with Kinematic Constraints for Robotic Mobile Fulfillment Systems

    4 citations · 2018

Key Collaborators

Contact & Links