Rongyun Cao

University of Science and Technology of China

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Total Citations

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About

Rongyun Cao is a leading researcher in soft robotics and human-robot interaction, with a focus on bridging the gap between robotic control and natural communication. Their seminal work, "Toward Effective Soft Robot Control via Reinforcement Learning" (2017, 48 citations), introduced a groundbreaking framework that enables soft robots to learn complex, adaptive behaviors through trial-and-error, overcoming the inherent challenges of controlling deformable structures. This contribution has become a foundational reference for researchers seeking to imbue soft robots with autonomy and dexterity. More recently, Cao has advanced the field of social robotics with "Automatic Generation of Robot Facial Expressions with Preferences" (2023), which addresses the critical challenge of enabling humanoid robots to produce contextually appropriate, emotionally resonant facial expressions despite variations in mechanical design and appearance. By developing a preference-based generation system, Cao’s work paves the way for more intuitive and empathetic human-robot communication. With a growing citation impact and a clear trajectory toward making robots not only functional but also socially engaging, Cao is a rising voice in the effort to create robots that can truly connect with people.