Human-Machine Interactions using LightBenders
Shuqin Zhu
Abstract
We present bare-hand interactions in support of physics-based translation with a LightBender. A cage facilitates safe user interaction by preventing their fingers and hands from coming to contact with the LightBender's blades. Each LightBender monitors its own velocity to detect user's interaction and disengagement. This decentralized implementation enables multiple users to interact with different LightBenders simultaneously. We present a Blender add-on to edit illuminations using bare-hand translation of LightBenders.
Bio
Shuqin Zhu is a Computer Science Ph.D. student at the University of Southern California (USC), advised by Dr. Shahram Ghandeharizadeh. His research focuses on human-computer interaction, physics-based haptic rendering, swarm behavior, and collision avoidance within aerial robotics. Specifically, he designs fundamental control strategies and physical-digital workflows for "Flying Light Specks" (FLSs)—miniature drone swarms equipped with programmable lighting primitives—transforming them into tangible 3D interfaces that users can physically touch and manipulate with bare hands. Through this work, his ultimate vision is to pioneer the next-generation physics-based 3D immersive environments, bridging the gap between digital design and physical reality without the need for headsets or controllers. Currently, he is also working as an intern at TikTok, focusing on Multi-Agent Frameworks.