RobotFlow.ai: Building Human-Level AI Agents with Open-Source Embodied Intelligence

RobotFlow.ai is an open-source embodied AI infrastructure designed for researchers, developers, and engineers aiming to create advanced, human-level generalist agents. By integrating full-body physiological capture, multi-modal perception, and scalable skill learning through Copy->Imitation->Self-Exploration, RobotFlow empowers users to train and simulate intelligent robots in realistic, physics-based environments. Its robust ecosystem includes specialized components like Humanoid, Sensor, RFVision, RFUniverse, and RFPlanner, along with a powerful Data Engine for interactive perception and a diverse suite of sensors—RGB-X, Tactile, EMG, EEG, and Ultrasound—enabling rich, real-world data integration. With built-in simulation acceleration and support for collaborative development via a vibrant community (including Forum, Slack, and Cloud services), RobotFlow.ai is a cutting-edge platform for innovation in robotics and AI.

Key Features:

• Full-body physiological capture
• Multi-modal perception (RGB-X, Tactile, EMG, EEG, Ultrasound)
• Scalable skill learning via Copy, Imitation, and Self-Exploration
• Physics-based simulation with environment support and acceleration
• Dedicated Data Engine for interactive perception and data management
• Modular components: Humanoid, Sensor, RFVision, RFUniverse, RFPlanner
• Open-source infrastructure for transparency and customization
• Comprehensive ecosystem with Tools, Datasets, and Robot Systems
• Active developer community with collaboration platforms (Forum, Slack, Cloud)
• Initiated by the Robot AI team @ MVIG, SJTU

Pricing: RobotFlow.ai is available as a free open-source platform with optional community and cloud support, making it accessible for all levels of users.

Conclusion: RobotFlow.ai stands at the forefront of embodied AI development, offering a powerful, collaborative, and open-source foundation for building intelligent, adaptive robotic agents with real-world capabilities.