Yupeng Yuan

Papers

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About

Yupeng Yuan is a researcher specializing in intelligent robotics and multi-agent systems, with a particular focus on control strategies for nonholonomic mobile robots. His most-cited work, "A multi-input multi-output control strategy for intelligent nonholonomic robots" (2015), addresses the complex challenge of formation control in multiple intelligent robots—a problem with vast applications in modern society, from warehouse automation to search-and-rescue missions. Yuan’s key contribution lies in reframing the leader-follower formation control problem as a multi-input multi-output (MIMO) system, offering a systematic approach to managing the inherent complexity of multivariable dynamics. This work has garnered 2 citations, reflecting its niche but foundational role in advancing theoretical frameworks for coordinated robot behavior. Yuan’s research sits at the intersection of control theory and robotics, providing practical insights for deploying intelligent, autonomous systems in real-world environments. His efforts contribute to the broader goal of enabling seamless collaboration among multiple robots, a critical step toward scalable automation. For students and researchers exploring multi-robot coordination, Yuan’s work offers a clear entry point into the intricacies of MIMO-based control for nonholonomic systems.