AGIBOT Unveils Genie Sim 3.0: A Revolutionary Robot Simulation Platform at CES 2026
AGIBOT has unveiled Genie Sim 3.0, a groundbreaking robot simulation platform designed to revolutionize the development of embodied intelligence. This innovative system was introduced at the Consumer Electronics Show (CES) 2026, showcasing a unified, open-source workflow for training and evaluating intelligent robots.
Key Features and Benefits:
Seamless Integration with NVIDIA Isaac Sim: Genie Sim 3.0 seamlessly integrates with NVIDIA Isaac Sim, which runs on NVIDIA Omniverse. This integration enables a comprehensive pipeline for digital asset creation, scene generation, data collection, automated evaluation, and physics-based simulation.
Reduced Reliance on Physical Robots: By utilizing Genie Sim 3.0, developers can significantly reduce their reliance on physical robots during the model iteration process, making development more efficient and cost-effective.
Genie Sim Benchmark: At the core of Genie Sim 3.0 is the Genie Sim Benchmark, a standardized evaluation system for embodied intelligence. This benchmark encompasses over 200 tasks across more than 100,000 simulated scenarios, moving beyond narrow metrics to build comprehensive capability profiles for robotic models.
Massive Open-Source Dataset: Genie Sim 3.0 boasts the largest open-source simulation dataset in embodied AI, exceeding 10,000 hours of synthetic data. This dataset accurately reflects real-world robot operation scenarios, covering multiple sensor modalities, including RGB-D inputs, stereo vision, and whole-body kinematics.
Automated Data Collection and Annotation: The platform includes an automated data-collection toolkit, supporting low-latency teleoperation and scripted task execution. Auto-annotation tools label data during collection, and a built-in recovery mechanism restarts tasks after failures, streamlining the dataset creation process.
Language-Driven Scene Creation: One of Genie Sim 3.0's standout features is its language-based scene generation capability. Users can describe environments in natural language, and the system generates structured scenes, visual previews, and numerous semantic variations, driven by large language models.
Vision-Language Model Refinement: Vision-language models further refine scenes to meet specific requirements, enabling models to generalize across diverse environments.
3D Reconstruction and Visual Generation: The platform integrates 3D reconstruction with visual generation, capturing real environments using a handheld 3D laser scanner. This scanner combines RGB imagery, 360-degree LiDAR, and centimeter-level positioning, allowing for the conversion of a single 60-second orbital video into a simulation-ready asset, significantly speeding up scene construction.
Industrial Robotics and Digital Twins: Genie Sim 3.0 is specifically tailored for industrial robotics, becoming the first platform to integrate real industrial-scene datasets into both training and evaluation. It reconstructs one-to-one digital twins of logistics hubs, inspection sites, and production lines, enabling teams to test models end-to-end without deploying robots on location.
Open-Source Ecosystem: All simulation assets, datasets, and evaluation code are fully open-source, aiming to build an authoritative benchmark ecosystem. AGIBOT encourages researchers and industrial teams to leverage the platform, shaping future embodied AI standards.
CES 2026 Presence: Visit the AGIBOT booth at CES 2026 to explore Genie Sim 3.0 and learn more about how it's transforming the field of robotics. For more information, visit AGIBOT's website and stay tuned for further updates.
