Max Robotics — Global Service Robot Directory + US Certification

About

Yineng Shen is an emerging researcher specializing in mobile edge computing (MEC) and multi-robot cooperation (MRC) systems, with a focused research agenda at the intersection of robotics, wireless communications, and resource optimization. Shen's work addresses a critical challenge in modern autonomous systems: how to efficiently manage computational and communication resources to minimize energy consumption and implementation latency in time-sensitive robotic applications. Their most cited contribution, "Time-critical tasks implementation in MEC based multi-robot cooperation systems" (2022), has garnered 13 citations and demonstrates how MEC deployment can be strategically leveraged to enhance the performance of collaborative robot networks. This work, along with companion studies on resource optimization and management in MEC-assisted MRC systems, establishes a coherent research trajectory aimed at jointly optimizing computation offloading and communication allocation. With multiple publications spanning 2021 and 2022 and a growing citation record totaling approximately 21 citations, Shen is establishing a meaningful presence in the edge computing and intelligent robotics communities. Their research offers practical frameworks that are increasingly relevant as autonomous multi-robot deployments expand across industrial and logistics applications.