Yanfang Deng
Papers
3
Total Citations
22
H-Index
3
About
Yanfang Deng is a leading researcher in mobile robotics, specializing in energy-efficient and time-critical autonomous systems. Her work focuses on optimizing data acquisition, path planning, and multi-robot coordination for smart environments. Deng’s major contributions include developing a mixed cognition particle swarm optimization algorithm that balances energy and time constraints for mobile robots collecting data in uncertain environments—a breakthrough cited 14 times. She also pioneered a memorial path planning method for indoor charging pile access, enabling uninterrupted service for cleaning and transport robots (5 citations). Notably, Deng introduced a distributed multi-robot-trailer scheduling system that coordinates charging stations to tow failing robots for recharging, addressing critical battery limitations in large-scale fleets (3 citations). Her research directly impacts real-world applications, from warehouse logistics to smart home services, by solving fundamental challenges in robot endurance and task efficiency. Deng’s work is essential reading for students and engineers designing autonomous systems that must operate reliably under tight energy and time budgets.
Research Focus
Key Achievements
Top Papers
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