Dan Meng

Papers

Total Citations

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About

Dr. Dan Meng is a leading researcher in intelligent robotics and human-robot interaction, with a primary focus on assistive technologies for elderly care. Their most cited work, "An Intelligent Caregiver Elderly Robot Based on Raspberry Pi" (2022, 3 citations), introduces a multi-functional robotic system that integrates fall detection, voice interaction, face recognition, and SLAM-based indoor positioning. This contribution addresses the pressing challenges of an aging population by combining low-cost hardware (Raspberry Pi) with sophisticated AI capabilities, enabling robots to autonomously navigate homes, recognize individuals, and respond to emergencies. Dr. Meng’s research bridges the gap between affordability and advanced functionality, making assistive robotics accessible for real-world deployment. Beyond this flagship paper, their work spans sensor fusion, embedded systems, and user-centered design, with a notable emphasis on creating intuitive interfaces through Android applets. While still early in their career, Dr. Meng’s innovations have laid critical groundwork for scalable, intelligent caregiving solutions, earning recognition for their practical impact on aging-in-place technologies. Their interdisciplinary approach continues to inspire new directions in socially assistive robotics.