Papers
2
Total Citations
8
H-Index
2
About
Simeng Lin is a researcher focused on advancing robotics and optimization, with key contributions in warehouse automation and multi-robot task allocation. Her work addresses critical challenges in logistics and disaster response. In her 2025 paper, "Integrated Optimization of Order Processing and Robot Scheduling in Parts-to-Picker System" (4 citations), she introduces the Order Processing and Robot Scheduling Problem (OPRSP), a novel framework that jointly optimizes order allocation, rack selection, and robot scheduling to enhance efficiency in automated warehouses. Earlier, her 2019 study, "A grouping method based on improved PSO for task allocation in rescue environment" (4 citations), proposes an innovative task allocation method for multi-robot systems in post-disaster scenarios, using an improved particle swarm optimization to enable timely and effective rescue operations. While her citation counts are still growing, these works demonstrate her ability to tackle complex, real-world optimization problems, bridging theoretical algorithms with practical applications in robotics. Lin’s research holds promise for improving both industrial logistics and humanitarian robotics, making her a rising voice in the field.
Research Focus
Key Achievements
Top Papers
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