Yaoyao Wei
Papers
3
Total Citations
9
H-Index
2
About
Yaoyao Wei’s research sits at the intersection of developmental robotics, autonomous navigation, and skill acquisition, with a focus on enabling mobile robots to learn from human demonstrations and developmental cues. Her most cited work, “Acquiring Robot Navigation Skill with Knowledge Learned from Demonstration” (2021, 4 citations), addresses a critical bottleneck in mapless navigation—accelerating learning by transferring human knowledge to robots, thereby improving both success rates and learning efficiency. In “Forming the Concept of Direction Developmentally” (2019, 3 citations), Wei proposes a biologically inspired framework that allows robots to construct spatial perception from motion cues, mirroring human cognitive development. Her earlier work, “Learning to chase a ball efficiently and smoothly for a wheeled robot” (2017, 2 citations), tackles the dual challenges of speed and stability in target chasing, a problem with applications in both civilian and military domains. Though her citation counts are modest, Wei’s contributions are foundational in developmental robotics, offering novel pathways for robots to learn spatial concepts and navigation skills more naturally and efficiently. Her work is particularly valuable for researchers interested in bridging cognitive science and robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Forming the Concept of Direction Developmentally3 citations · 2019
- 3Learning to chase a ball efficiently and smoothly for a wheeled robot2 citations · 2017