UBTECH Releases Thinker-Sim Embodied AI Simulation Platform
UBTECH has launched the Thinker-Sim embodied AI simulation platform, establishing an all-in-one technical system for real-world scene digitization, scaled synthetic data generation, and robot capability evaluation. This platform bridges the gap between the physical and digital worlds, enabling robots to undergo rigorous training and deployment validation in realistic digital twin environments before facing real-world deployment. Thinker-Sim integrates UBTECH's proprietary Thinker-GS high-fidelity scene reconstruction algorithm and SimReady automated asset generation technology to streamline 3D reconstruction and collision setup.
## BACKGROUND
Embodied AI simulation platforms use physics engines and digital twin environments to test and train intelligent robots safely. Technologies like SimReady assets and high-fidelity 3D reconstruction help bridge the Sim2Real gap by making virtual simulation environments closely match physical reality.