Papers
3
Total Citations
29
H-Index
3
About
Ruqing Zhao is a leading researcher in reconfigurable robotics and multi-agent systems, with a focus on modular aerial robots and intelligent control. Her major contributions include the design and control of a novel reconfigurable modular quadrotor capable of rapid in-air self-disassembly and full-actuation, as detailed in her 2024 paper (14 citations). This work introduces a vector tilting structure and active undocking mechanism, enabling unprecedented flexibility in aerial robotics. Zhao also advances mobile robot navigation through deep reinforcement learning, proposing a time-sensitive reward method for global path planning (9 citations, 2022), which addresses scalability challenges in known map scenarios. Her 2024 paper on multi-objective cooperative transportation (6 citations) introduces an Isomorphic Mapping Reconfigurable Multi-Agent Reinforcement Learning (IM-RMARL) framework, offering a scalable decision-making solution for reconfigurable multi-agent systems with applications in logistics. Zhao’s research bridges modular design and AI-driven control, achieving over 29 total citations and demonstrating significant potential for autonomous, adaptable robotic systems in dynamic environments.
Research Focus
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