Yili Wang

Papers

Total Citations

H-Index

About

Yili Wang is a robotics researcher whose work focuses on the integration of cloud computing and modular design in service robotics. In their most-cited paper, "A Fully Cloud-Based Modular Home Service Robot" (2017), Wang pioneered a framework that offloads computational tasks to the cloud, enabling lightweight, cost-effective robots to perform complex domestic tasks. This modular approach allows for scalable, reconfigurable hardware and software, reducing barriers to deploying assistive robots in real homes. While the paper has garnered 2 citations, its conceptual foundation has informed subsequent work on distributed robotic systems and cloud-robot interaction. Wang’s contributions lie in bridging cloud infrastructure with physical robotics, emphasizing accessibility and flexibility over monolithic designs. Their research is particularly relevant for students and engineers interested in affordable, adaptable home automation solutions. By demonstrating that even low-power robots can leverage cloud resources for advanced perception and decision-making, Wang has opened pathways for more widespread adoption of service robots in everyday environments.