Yingying Ren

Central South University, University of Illinois Urbana-Champaign

Papers

Total Citations

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About

Yingying Ren is a researcher at the forefront of mobile robotics and cloud-based systems, with a focus on optimizing data collection and autonomous navigation. Her most impactful work, "An Effective Crowdsourcing Data Reporting Scheme to Compose Cloud-Based Services in Mobile Robotic Systems" (2018, 26 citations), addresses critical challenges in minimizing data collection costs while ensuring quality of service in AI-driven mobile robot systems. This contribution is vital for scalable, real-world deployment of robotic swarms. Ren also pioneers novel approaches to robot motion planning, as seen in her highly cited 2021 paper (10 citations) on "visibility-based approaches to computing non-deterministic bouncing strategies." Inspired by commercial robots, this work explores how robots can navigate by moving in straight lines and "bouncing" off environmental boundaries, offering a fresh perspective on nondeterministic path planning. By blending theoretical visibility analysis with practical robotic behaviors, Ren’s research advances both the efficiency and autonomy of mobile systems. Her work is essential reading for students and researchers interested in crowdsourced robotics, cloud-service integration, and innovative motion strategies.