Huo Ke

Papers

Total Citations

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About

Huo Ke is a researcher at the forefront of human-robot interaction and augmented reality (AR), with a focus on intuitive, visual programming for robotic systems. Their most cited work, "V.Ra: An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality" (2019, 11 citations), introduces a pioneering approach that allows users to design and execute complex robot and Internet of Things (IoT) tasks directly within a physical environment using AR interfaces. This contribution addresses a critical challenge in robotics: making task planning accessible to non-experts by replacing traditional code with in-situ visual authoring. By enabling users to drag, drop, and link virtual objects and actions in real space, Huo Ke’s work bridges the gap between abstract programming and tangible interaction, significantly lowering the barrier to entry for robot-IoT system deployment. Their research has implications for smart manufacturing, home automation, and educational robotics, where rapid, user-friendly task specification is essential. With a growing citation impact, Huo Ke is recognized for advancing human-centered design in robotics, demonstrating how AR can transform complex technical workflows into intuitive, visual experiences.