Yindong Lian
Papers
3
Total Citations
37
H-Index
3
About
Yindong Lian is a researcher focused on industrial automation and intelligent logistics, with key contributions in multi-robot scheduling, path planning, and energy optimization within cyber-physical systems. His work addresses critical challenges in warehouse automation, particularly the coordination of multiple mobile robots and automated guided vehicles (AGVs) to improve efficiency and reduce energy consumption. Lian’s most cited paper, “A spatio-temporal constrained hierarchical scheduling strategy for multiple warehouse mobile robots under industrial cyber–physical system” (2022), has garnered 21 citations and introduces a novel scheduling framework that integrates spatial and temporal constraints to enhance system performance. Another influential study, “An Improved Heuristic Path Planning Algorithm for Minimizing Energy Consumption in Distributed Multi-AGV Systems” (2020, 11 citations), models two-wheel differential-driven robots with lithium battery dynamics to optimize both task completion and energy use. His 2021 work on multi-warehouse mobile robot scheduling further advances the application of industrial cyber-physical systems (ICPS) for resource allocation. Lian’s research is highly relevant for students and engineers seeking to understand scalable, energy-aware automation solutions in modern manufacturing and logistics environments.
Research Focus
Key Achievements
Top Papers
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