RynnBot Embodied AI Platform

RynnRCP Framework: Supports SDK and skill integration for a wide range of robotic arms, dexterous hands and humanoid systems; enables native deployment across multiple platforms, operating systems and chip architectures; facilitates collaboration between cloud and device, edge and device, standalone systems and multi-robot systems; delivers end-to-end command response at the millisecond level (latency ≤10 ms) with real-time control precision (repeatability ±1 mm). Multi-Configuration Support: Compatible with mainstream robot bodies (e.g., Lekiwi, Franka, Realman, Dobot X-Trainer); supports multimodal data acquisition (video streams ≥30 FPS, joint angle/torque data ≥100 Hz), visualised data management, and online model fine-tuning. Model Inference: Supports cloud deployment of 7B-parameter VLA models with concurrent task scheduling for ≥8 parallel workflows. Simulation Platform: Enables data collection and model inference in simulated environments with a physics simulation step of ≤10 ms. Skill Development: Integrates the full R&D pipeline—data, models, simulation, and on-device deployment—to significantly shorten skill development cycles, meeting the demands for rapid iteration in educational training and industrial applications.