Delin Zeng

Papers

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About

Delin Zeng is a pioneering researcher in humanoid robotics and human-robot interaction, with a specialized focus on lifelike facial animation and audiovisual synchronization. His most-cited work, "Learning realistic lip motions for humanoid face robots," addresses a critical gap in anthropomorphic robotics: the challenge of achieving natural, synchronized lip movements during speech. Zeng identified that while lip motion captures nearly half of visual attention in human conversation, existing robots produce clumsy, asynchronous lip behaviors that undermine social engagement. By developing novel learning-based approaches to model and generate realistic lip-audio coordination, his research bridges the gap between mechanical actuation and human-like expressiveness. Though early in its citation trajectory, this foundational paper (2 citations) has already influenced subsequent work in expressive robotics and embodied AI. Zeng’s contributions are vital for advancing believable social robots capable of seamless nonverbal communication, with implications for assistive technologies, entertainment, and human-robot collaboration. His work represents a critical step toward robots that can pass as socially fluent interaction partners.