Kelvin Cheng

Papers

Total Citations

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About

Kelvin Cheng is a researcher at the forefront of human-robot interaction and augmented reality (AR), with a focus on enhancing safety and emotional engagement in autonomous systems. His work addresses critical challenges in real-world robotics, particularly around autonomous delivery robots (ADRs). In his highly cited 2022 paper, "Improving Pedestrian Safety around Autonomous Delivery Robots in Real Environment with Augmented Reality," Cheng proposed using AR to display real-time information from ADRs, effectively reducing pedestrian anxiety and improving safety in shared spaces—a contribution that has already garnered 5 citations for its practical relevance. He also developed the EMI (Expressive Mobile Interactive) robot platform, introduced in his 2020 paper, which explores how emotional behaviors in robots influence human interactions. By integrating a rear-projected expressive face with omni-directional sensing, Cheng demonstrated how emotional expressiveness can foster more natural and trusting human-robot relationships. With a growing citation impact and a focus on bridging technology and human experience, Cheng’s work is shaping the future of safe, empathetic autonomous systems—an essential read for students and researchers in robotics, AR, and human-centered design.