Qingqing Fang

Papers

Total Citations

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About

Qingqing Fang is a rising researcher in robotics and control systems, with a focus on trajectory tracking and networked communication for mobile robots. Their key research areas include hybrid dynamic control, intermittent sampled-data (ISD) communication, and autonomous navigation. Fang’s major contribution lies in developing innovative control strategies that reduce communication burdens while maintaining precise robot motion—a critical challenge for real-world autonomous systems. Their 2024 paper, "Hybrid Dynamic Trajectory Tracking Control for Mobile Robots via Intermittent Sampled-Data Communication," introduces dual-channel asynchronous and synchronous ISD methods to optimize signal transmission between robot position and control inputs. Although early in its citation impact, this work addresses a fundamental trade-off in robotics: balancing performance with bandwidth efficiency. Fang’s research holds promise for applications in warehouse automation, search-and-rescue, and intelligent transportation. As their work gains recognition, it is poised to influence next-generation control architectures for resource-constrained robotic systems.