Po-Ting Huang

Papers

Total Citations

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About

Po-Ting Huang is a robotics and human-machine interaction researcher whose work explores novel interfaces between living systems and autonomous technologies. Their most cited paper, "Object following based on SURF for mobile robots" (2012, 7 citations), introduces a real-time tracking algorithm that leverages Speed Up Robust Features (SURF) to enable mobile robots to follow a target object based on visual feature deviations and scaling cues. This contribution advances computer vision for autonomous navigation, offering a robust solution for dynamic environments. Huang’s research also ventures into the unconventional realm of plant-machine communication, as seen in "Attempt on plant machine interface" (2011, 2 citations). This pioneering study investigates how avocado trees respond to drought stress, using morphological and electrical signals as communication channels. By bridging robotics with bio-sensing, Huang demonstrates a unique interdisciplinary approach, pushing the boundaries of how machines interpret natural systems. With a focus on feature-based tracking and bio-inspired interfaces, their work inspires new pathways in adaptive robotics and environmental sensing, making a modest but meaningful impact on the field.