Zhuangying Xu

About

Zhuangying Xu is a researcher at the forefront of human-robot interaction and mixed-reality systems, with a focus on making robot programming accessible to non-experts. Their most influential work, "V.Ra" (2019, 41 citations), introduces a visual and spatial programming system for robot-IoT task authoring. In this system, mobile robots act as binding agents that link stationary IoT devices to perform collaborative tasks, creating a coherent ecosystem connecting robots, IoTs, and task plans. Xu extended this concept with an in-situ authoring approach using augmented reality (2019, 11 citations), enabling users to program robots directly within their physical environment. Prior to V.Ra, Xu developed "Ani-Bot" (2018, 10 citations), a modular robotics system that leverages Mixed-Reality Interaction (MRI) through Head-Mounted Displays, allowing users to visually program DIY robots in an augmented view. This work, first presented in 2017 (3 citations), established a novel user experience by embedding MRI across three phases of modular robot interaction. Xu's contributions are pioneering the integration of mixed reality, IoT, and robotics, with a cumulative impact of over 70 citations, making complex robotic tasks intuitive and spatially grounded for everyday users.

Research Focus

Key Achievements

Top Papers

1. 1
   V.Ra

   41 citations · 2019
2. 2
   V.Ra An In-Situ Visual Authoring System for Robot-IoT Task Planning with Augmented Reality

   11 citations · 2019
3. 3
   Ani-Bot

   10 citations · 2018
4. 4
   V.Ra

   6 citations · 2019
5. 5
   Ani-Bot

   3 citations · 2017

Key Collaborators

Contact & Links