RoSi by Robotec.ai: Powering Intelligent Robotics with Advanced Simulation and AI

RoSi is a cutting-edge, end-to-end digital twin simulation platform developed by Robotec.ai, designed to accelerate the training, development, and real-world deployment of intelligent robotics and automation systems. Built on high-performance GPU-accelerated simulation and photorealistic rendering using the Open 3D Engine (O3DE), RoSi enables precise testing across critical industries like mining, agriculture, warehousing, and automotive. With support for ROS 2 and seamless integration with cloud platforms like AWS, it offers Software-in-the-Loop (SiL) and Hardware-in-the-Loop (HiL) capabilities, ensuring robust validation of robotic systems. The platform excels in synthetic dataset generation and human-robot interaction (HRI) testing, including deep analysis of human states such as distraction, drowsiness, and stress—ideal for safety-critical applications. All data campaigns are GDPR-compliant and tailored to meet global regulatory standards, including those from GLOBAL NCAP, NHTSA, and the European Commission. Robotec.ai also supports migration from legacy tools like Gazebo and Unity to O3DE, making RoSi a future-ready solution for robotics innovation.

Key Features:

• Digital Twin Simulation Platform: Full lifecycle simulation for robotics and automation systems.
• GPU-Accelerated & Photorealistic Rendering: Powered by Open 3D Engine (O3DE) for high-fidelity realism.
• Synthetic Dataset Generation: High-quality, GDPR-compliant datasets for AI training.
• Human-Robot Interaction (HRI) Testing: Real-world and synthetic data campaigns to assess human behavior and interaction with robots.
• Sensor Simulation (RoSi Sensors): Advanced simulation for RGB, RGBD, LiDAR, radar, V2X, UWB, GNSS/INS, IMU, proximity sensors, and wheel odometry using RGS raytracing library.
• ROS 2 Integration: Full compatibility with the global standard for robotics middleware.
• SiL & HiL Support: Enables development and testing at both software and hardware levels.
• Cloud Scalability: Integrates with AWS for flexible, scalable simulation management.
• Cross-Industry Applications: Tailored solutions for mining, agriculture, warehouse logistics, and automotive sectors.
• AI Model Bridging: Connects robotic stacks (ROS 2) with advanced AI models (LLM/VLM/VLA).
• Open-Source Contributions: Active involvement in advancing open standards in robotics.
• Legacy Migration Support: Assists in transitioning from Gazebo and Unity to O3DE.
• Regulatory Compliance: Designed to meet standards from GLOBAL NCAP, NHTSA, European Commission, and UN.

Pricing: RoSi is available as a SaaS or on-premise solution, offering flexible deployment options. While specific pricing details are not publicly listed, the platform is designed for enterprise and industrial clients, suggesting a paid or subscription-based model with custom pricing for large-scale implementations.

Conclusion: RoSi by Robotec.ai stands at the forefront of intelligent robotics development, combining powerful simulation, synthetic data, and human-robot interaction insights in a secure, compliant, and scalable platform—making it an essential tool for forward-thinking teams in industrial automation and advanced robotics.