Ke Huo

Papers

Total Citations

150

H-Index

About

Ke Huo is a leading researcher at the intersection of human-robot interaction, augmented reality (AR), and modular robotics. Their work focuses on making robot programming accessible and intuitive through embodied, spatial, and visual authoring tools. Huo’s most influential contribution is **GhostAR** (68 citations), a time-space editor that allows users to author human-robot collaborative tasks by physically role-playing in AR, eliminating the need for traditional coding. This embodied approach has reshaped how non-experts can program robots in real-world environments. Huo also developed **V.Ra** (41 citations), a visual and spatial programming system that uses mobile robots as “binding agents” to coordinate IoT devices, creating seamless, collaborative ecosystems. Earlier work includes **HexaMorph** (22 citations), an origami-inspired reconfigurable hexapod robot that demonstrates how lightweight, foldable structures can enable compact and versatile robotics. Additionally, **Ani-Bot** (10 citations) introduced mixed-reality interaction for modular DIY robots, allowing users to visually program and control custom robots through a head-mounted display. Across these projects, Huo’s research consistently lowers the barrier to robot programming, blending AR, IoT, and modular design to empower creators and researchers alike.