Lou-Lei Dai

Papers

Total Citations

H-Index

About

Lou-Lei Dai is a pioneering researcher in intelligent agriculture and autonomous multi-robot systems, with a primary focus on task allocation and optimization in smart farming and transportation networks. Their most influential work, "Multi-Objective Multi-Picking-Robot Task Allocation: Mathematical Model and Discrete Artificial Bee Colony Algorithm" (2023), has garnered 51 citations and addresses the critical challenge of optimizing cost and efficiency in Agriculture 4.0 by developing novel algorithms for coordinating multiple picking robots. Building on this foundation, Dai's recent research introduces a reinforced neighborhood search method combined with genetic algorithms for multi-objective multi-robot transportation systems (2025), tackling the complex routing and scheduling problems essential for autonomous logistics. These contributions are particularly significant as they bridge the gap between theoretical optimization models and practical applications in smart agriculture and industrial automation. By advancing discrete artificial bee colony algorithms and hybrid metaheuristic approaches, Dai is helping to realize the vision of fully automated, efficient farming operations and intelligent transportation networks, making their work highly relevant for researchers and practitioners in robotics, operations research, and sustainable agriculture.