About

Ruina Dang is a leading researcher in amphibious and legged robotics, with a focus on designing robots that can seamlessly transition between land and water for environmental monitoring and cleanup. Her most-cited work introduces a novel multimode amphibious robot for patrol and beach garbage collection in land–water transition zones, demonstrating her commitment to real-world applications. Dang has also made significant contributions to visual SLAM, developing RWT-SLAM to address the challenge of robust localization in weakly textured environments, and to ground-air collaborative systems with the SAME framework for semantic active mapping. Her research on quadruped robots, including bionic locomotion, adaptive behavior on uneven terrain, and traction control, has garnered over 50 citations across her top papers. Notably, she has explored cable-driven continuum robots for large-load applications, expanding the capabilities of bionic spines and tails. Dang’s work bridges theory and practice, advancing intelligent robotics for complex, unstructured environments.

Research Focus

Key Achievements

5
H-Index
10
Papers
49
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Modeling and implementation of a novel amphibious robot with multimode motion
11 citations · 2022
📈 Most Prolific Year: 2019 (4 Papers)
🤝 Key Collaborators: 43
🏛 Institutions: Beijing Academy of Artificial Intelligence, State Key Laboratory of Vehicle NVH and Safety Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago