Max Robotics — Global Service Robot Directory + US Certification

About

Minqi Zhang is an emerging researcher specializing in human-robot collaboration, warehouse logistics, and ergonomics, with a particular focus on the intersection of automation and human performance in order picking systems. His work addresses one of supply chain management's most pressing challenges: how to effectively integrate autonomous mobile robots (AMRs) alongside human workers in shared warehouse environments. Zhang's most influential contribution, "Hybrid Order Picking: A Simulation Model of a Joint Manual and Autonomous Order Picking System" (2022, 68 citations), established a foundational framework for evaluating these collaborative systems, while his subsequent ergonomic and economic evaluation work (2023, 48 citations) demonstrated that human-centric considerations are inseparable from operational efficiency. His research is distinctive for its multimethod rigor, combining simulation modeling, laboratory experiments, physiological workload assessment, and survey analysis. Notably, Zhang has pioneered investigations into how demographic factors — particularly worker age — influence performance in human-robot collaborative environments, reflecting a commitment to inclusive workforce design. His systematic literature review on modeling human-robot collaborative logistics systems further positions him as a synthesizer of this rapidly evolving field. With over 145 cumulative citations, Zhang is establishing himself as a leading voice in next-generation, human-centered warehouse automation research.