Tianyue Yang
Papers
1
Total Citations
1
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About
Tianyue Yang is a researcher advancing the frontier of human-robot interaction, with a primary focus on enabling service robots to navigate complex social and ethical landscapes. Their key research areas include autonomous agent morality, legal compliance in robotics, and the development of interactive learning frameworks for social norms. Yang’s most notable contribution is the pioneering work on item ownership relationships, as detailed in their 2023 paper, “An Interactive Learning Framework for Item Ownership Relationship in Service Robots.” This study addresses a critical gap in robotics: teaching autonomous systems to recognize and respect property rights—a fundamental social norm. By proposing a framework that allows robots to learn ownership through interaction, Yang directly tackles the challenge of embedding moral values and legal regulations into machine behavior. Though early in its citation impact, this work lays essential groundwork for socially compliant robots. Yang’s research holds profound implications for the future of service robotics, where machines must seamlessly integrate into human environments by understanding not just commands, but the nuanced social contracts that govern our daily lives.
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