ARTECH CNC Adopts NVIDIA Isaac Sim to Advance AI-Powered Robotics

ARTECH CNC Adopts NVIDIA Isaac Sim to Advance AI-Powered Robotics

At ARTECH CNC, we are harnessing the power of artificial intelligence to transform how robots learn, adapt, and operate. By integrating NVIDIA technologies, we are leveraging cutting-edge advancements to push the boundaries of AI-driven robotics, accelerating the realization of more intuitive and versatile human-robot interaction.

Our team is dedicated to developing AI models trained through demonstration, including the use of our in-house designed handheld devices. By utilizing NVIDIA accelerated computing, we have not only improved the efficiency of model training but also deployed these models directly into our robotic arm controllers, enabling smoother and more responsive AI operations in real-world scenarios.

ARTECH CNC is building a platform that integrates data collection, organization, and labeling to train AI models, while also creating and deploying applications based on these models. NVIDIA technologies have played a pivotal role in making this process seamless, helping us train complex models efficiently and deliver them from the lab to our customers in record time.

With our next-generation robots, we are taking this technology to new heights. We are integrating NVIDIA cuMotion, a CUDA-accelerated motion planning library, to provide advanced obstacle avoidance—an essential safety layer for AI-driven robotics. Just as autonomous vehicles require robust safety systems to avoid collisions, our robotic arms also need intelligent and reliable methods to adapt to their environments. cuMotion enables our robots to become the first of their kind to rapidly scan, identify, and avoid obstacles. Before cuMotion, achieving such capabilities was a significant challenge due to the limitations of open-source alternatives and the inherent unpredictability of black-box neural networks.

We are also fully leveraging NVIDIA Isaac Sim, a reference application for robot simulation built on the NVIDIA Omniverse platform, to develop comprehensive test suites for the AI models we create. This allows us to rigorously validate our models in simulated environments, running on AWS cloud instances, before deploying them in real-world applications. Furthermore, Isaac Sim plays a crucial role in generating synthetic training data for our foundational AI models, enabling us to achieve a level of data diversity and volume that would otherwise be impractical through real-world data collection alone.

Additionally, we recognize the importance of community-driven innovation. To this end, we plan to open-source our drivers, allowing our customers to seamlessly integrate their workflows with Omniverse. By doing so, we aim to empower our clients to innovate on top of our work, ensuring they have the flexibility and tools needed to drive innovation based on their own requirements.

By integrating NVIDIA technologies throughout our entire development pipeline—from data generation and AI training, to workflow evaluation in simulation, and ultimately real-time deployment—we are accelerating our vision for AI-driven robotics. This collaboration has enabled us to simplify and strengthen our workflows, resulting in robotic systems that are safer, smarter, and easier to train.

We look forward to continuing this journey, pushing the boundaries of what our robotic systems can achieve, and reshaping the future of intelligent automation.