Airs Lin

Papers

Total Citations

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About

Airs Lin’s research lies at the intersection of robotics, embedded systems, and cooperative autonomous networks. Lin’s work on the **Cooperative Semi-autonomous Robotic Network for Search and Rescue Operations** (3 citations) proposes novel architectures for multi-robot coordination in disaster scenarios, advancing the field of human-robot teaming. In parallel, Lin developed a **Virtual Reality Head-Tracking Observation System for Mobile Robots** (3 citations), integrating immersive VR interfaces with robotic teleoperation—a contribution that bridges human perception and machine mobility. Lin also made a critical contribution to mixed-signal design in **"The Effect of Return Path Current on Analog Sensor Readings in Mixed-Signal Embedded Applications"** (2 citations). This paper provides an in-depth experimental analysis of how ground configurations corrupt analog-to-digital converter (ADC) readings, offering practical guidance for mitigating system instabilities in embedded platforms. Though modest in citation counts, Lin’s work demonstrates a rare breadth—spanning hardware-level circuit integrity to high-level robotic coordination—and reflects a hands-on, interdisciplinary approach. Lin’s research has been affiliated with the Structures, Pointing, and Control Engineering (SPACE) University Research Center at California State University, Los Angeles, highlighting a commitment to applied engineering solutions.