Meiying Qin
Papers
9
Total Citations
461
H-Index
7
About
Meiying Qin is a pioneering researcher at the intersection of social robotics, human-robot interaction, and cognitive robotics, with a particular focus on assistive technologies and animal-robot interaction. Her most impactful work, "Improving social skills in children with ASD using a long-term, in-home social robot" (347 citations), revolutionized autism interventions by demonstrating that sustained, home-based robotic interactions can effectively enhance social communication in children with autism spectrum disorder—a significant departure from short-term lab studies. Qin has also made substantial contributions to robot tool use, developing frameworks like TRI-STAR for rapidly learning generalizable tool-use skills, and exploring causal approaches to tool affordance learning. Her interdisciplinary research extends to canine-robot interaction, where she investigates whether dogs perceive robots as social agents, and conformity studies examining human behavior toward robot majorities. Notably, her work on task-oriented handovers and interactive policy shaping advances collaborative tool-use applications. With over 460 total citations across her publications, Qin’s research bridges fundamental robotics challenges with real-world applications in healthcare, human-robot collaboration, and animal cognition, establishing her as a versatile innovator in socially-aware robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Minority of One against a Majority of Robots33 citations · 2021
- 3A Causal Approach to Tool Affordance Learning18 citations · 2020
- 4Robot tool use: A survey16 citations · 2023
- 5Dog Sit! Domestic Dogs (Canis familiaris) Follow a Robot's Sit Commands14 citations · 2020
- 6Task-Oriented Robot-to-Human Handovers in Collaborative Tool-Use Tasks12 citations · 2022
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