Max Robotics — Global Service Robot Directory + US Certification

About

Bokui Shen is a researcher at the forefront of embodied AI, robotic simulation, and 3D generative modeling, whose work has fundamentally shaped how intelligent systems learn to interact with the physical world. He is perhaps best known as a principal contributor to the iGibson simulation platform, with iGibson 1.0 and 2.0 together accumulating nearly 240 citations — a testament to their widespread adoption across the robotics and AI communities. These environments introduced large-scale, fully interactive home scenes and object-centric simulation frameworks, enabling researchers to train robots on complex everyday household tasks far beyond simple navigation. Shen's research has since expanded into cutting-edge 3D generative modeling, including GINA-3D, which learns to synthesize implicit neural assets from real-world sensor data to support autonomous driving simulation, and NAP, a pioneering generative model for articulated 3D objects. His work on deformable object manipulation — through projects like ACID and Make a Donut — addresses some of robotics' most challenging open problems. Spanning simulation infrastructure, generative AI, and robot learning, Shen's contributions form an interconnected research vision: building richer, more realistic virtual worlds to accelerate the development of capable, real-world robots.