09/07/2026
🚀 BAAI Launches Robo X Studio V2.0: The BAAI One-Stop Embodied Intelligence Platform
Embodied AI is moving beyond impressive demos and into real-world deployment.
But building robots that can reliably perceive, reason, and act in complex environments requires much more than powerful foundation models. Success depends on an end-to-end infrastructure that connects data production, model training, deployment, and evaluation into one seamless workflow.
Today, Embodied AI developers still face three major challenges:
🔹 Fragmented data standards make it difficult to integrate heterogeneous datasets across different robot embodiments.
🔹 Disconnected engineering workflows create unnecessary complexity between data processing, training, inference, and deployment.
🔹 Lack of standardized evaluation makes it difficult to objectively measure model performance and bridge the gap between simulation and real-world robots.
These challenges translate into everyday questions:
How do you validate the quality of collected data?
How do you convert different embodied datasets into a unified training format?
How do you launch large-scale training efficiently?
How do you deploy inference services?
How do you evaluate model performance with standardized benchmarks?
How do simulation results accelerate real-world robot iteration?
To address these challenges, the Beijing Academy of Artificial Intelligence (BAAI) developed Robo X Studio—the BAAI One-Stop Embodied Intelligence Platform, providing an end-to-end development workflow for Embodied AI.
Supporting multiple robot embodiments and mainstream hardware solutions, Robo X Studio integrates the entire development lifecycle, including:
âś… Task Planning
âś… Data Collection
âś… Data Quality Inspection
âś… Data Annotation
âś… Dataset Management
âś… Model Training
âś… Model Deployment
âś… Model Evaluation
🎉 What's New in Robo X Studio V2.0?
âś… End-to-End Data Quality Assurance
Ensure data quality throughout the entire production pipeline.
Robo X Studio V2.0 introduces more than 30 built-in quality inspection operators for video inspection, motion dataset validation, and automated quality checks. Configurable inspection rules, automatic reports, and real-time collaboration between collection, inspection, and annotation help developers build reliable datasets at scale.
âś… Native Training & Inference on Domestic AI Chips
Powered by the FlagScale training and inference framework, Robo X Studio V2.0 supports multiple domestic AI accelerators while integrating data, algorithms, and state-of-the-art embodied AI models into one unified platform.
Cloud-integrated resource scheduling and observable training pipelines significantly reduce engineering complexity while improving efficiency and hardware utilization.
âś… Integrated Training & Evaluation Workflow
Training and evaluation are no longer separate processes.
The platform provides a complete simulation evaluation workflow covering scenario generation, model inference, benchmark testing, capability analysis, and visualized evaluation reports.
Developers can quickly identify performance bottlenecks and continuously optimize model performance with standardized metrics.
âś… One-Click Training with Unified Open Datasets
Open-source embodied datasets often come in incompatible formats.
Robo X Studio V2.0 converts five major open datasets—including RoboCOIN, RoboMIND, AgiBotWorld, LET, and 10Kh-RealOmni-OpenData—into the unified LeRobot 3.0 format.
Together they provide:
📦 ~10 TB of data
🤖 700+ embodied tasks
⏱️ ~40,000 hours of real-world robot demonstrations
With unified dataset management, automated format conversion, and one-click training, developers can immediately start building models instead of spending weeks preparing data.
Build Faster. Iterate Smarter.
From data collection and quality validation to training, deployment, and evaluation, Robo X Studio V2.0 transforms fragmented engineering workflows into a unified, reusable, observable, and scalable development platform.
No more writing repetitive data conversion scripts.
No more stitching together disconnected toolchains.
No more relying solely on demo videos to judge model performance.
Instead, developers can focus on what matters most—building better Embodied AI.
Whether you're conducting embodied AI research, collecting robot data, training foundation models, evaluating algorithms, or deploying robots into real-world applications, Robo X Studio V2.0 provides the infrastructure to accelerate your journey.
👉 Get started today:
https://ei2data.baai.ac.cn/home
