Building the Complete Ecosystem
for Real-World RL
EvoData is an open data platform developed by EvoMind Tech and MINT Lab, SJTU. We are dedicated to building a complete ecosystem — from real-world RL methodology to data collection and community sharing — to accelerate intelligent embodied AI.
Why Does This Platform Exist?
Real-world reinforcement learning faces unique data challenges that existing platforms are not designed to address.
Real-World RL Data is Scarce
Unlike simulation data, high-quality real-world RL trajectory data is extremely rare. Collecting it requires physical robots, safety-critical RL training, and significant engineering effort.
VLA Models Need RL-Quality Data
Vision-Language-Action models rely on reinforcement learning for fine-grained, stable control. Without diverse real-world RL data, VLA policies fail to generalize beyond toy tasks.
No Unified Standard
Datasets are scattered across institutions with incompatible formats, making reproducibility and cross-dataset training nearly impossible.
What EvoData Offers
A comprehensive data infrastructure platform purpose-built for real-world reinforcement learning research.
- Datasets collected via Evo-RL — our real-world RL training framework
- LeRobot-compatible format for direct integration with modern RL pipelines
- Unified metadata schema across all datasets
- Built-in trajectory visualization and data exploration tools
- Versioned datasets with full provenance tracking
- Open Apache 2.0 licensing for research and commercial use
- Community-driven dataset curation and quality control
- Benchmarking suite for policy evaluation on real robots
Building a Complete Ecosystem
From a static showcase to a full real-world RL ecosystem — spanning methodology, data collection, and community sharing.
Static Showcase
Static website showcasing the platform vision, dataset previews, and the Evo-RL project roadmap.
- Platform overview & vision
- Dataset catalog with preview data
- Design system & component library
Dataset Browsing & Preview
Full dataset browsing with real metadata, trajectory previews, and search functionality.
- Real dataset metadata API
- Full-text search & tag filtering
- Trajectory visualization
- Dataset detail pages
Upload & Download
Enable the community to upload and download real-world RL datasets with authentication and cloud storage.
- User authentication system
- Dataset upload pipeline
- Chunked download with resume
- Alibaba Cloud OSS integration
Community & Ecosystem
A full ecosystem integrating real-world RL methods, data collection, sharing, and community benchmarking.
- Community dataset contributions
- Policy evaluation benchmarks
- Evo-RL method integration
- Open API access
Built by EvoMind Tech & MINT Lab, SJTU
EvoData is jointly developed by EvoMind Tech and MINT Lab at Shanghai Jiao Tong University — combining industry engineering with academic research to advance real-world robot learning.