Accelerate Physical AI and Industrial Automation with NVIDIA

Imagine autonomous robots navigating complex industrial environments, making real-time decisions, and learning from virtual simulations – all powered by cutting-edge Edge AI and digital twins.

• At ImagingNext 2025, Maycon da Silva Carvalho will explore how NVIDIA is advancing autonomous machines through powerful hardware, sophisticated perception technologies, and digital twin innovations.

Edge AI and Digital Twins in Action

NVIDIA is driving the future of robotics by integrating powerful Edge AI hardware, advanced perception technologies, and digital twin innovations to accelerate the development and deployment of autonomous machines.

At the heart of this strategy is the Jetson platform, with the NVIDIA Jetson Thor SoC combining GPU, CPU, and AI accelerator to handle demanding robotics workloads at the edge, enabling real-time processing, on-device decision-making, and reduced reliance on cloud connectivity.

Beyond hardware, NVIDIA’s solutions include sophisticated perception technologies and the Omniverse platform, which provides high-fidelity, physically accurate digital twins for testing and validating robotic systems. Sensor simulation within Omniverse allows developers to safely and efficiently prototype and validate AI models, creating a seamless transition from virtual testing to physical deployment and supporting scalable rollout across industries.

About the speaker: Maycon da Silva Carvalho

Maycon Carvalho is a Senior Solutions Architect with a background in electrical and computer engineering, specializing in the exciting fields of robotics and embedded systems. With a deep expertise in deploying cutting-edge perception AI and sophisticated multimodal architectures like VLMs (Vision Language Models) and VLA (Vision Language Action Models) at the edge, Maycon is at the forefront of intelligent automation. His experience extends to crucial aspects of development, including SIL (Software-in-the-Loop) for robotics and AI systems and advanced sensor simulation.

He also possesses a strong background in the hardware integration of industrial sensor and camera systems. Having dedicated over five years to working with NVIDIA technologies, Maycon has a proven track record of successfully assisting hundreds of customers across the EMEA region in realizing their technological ambitions.

At ImagingNext, Maycon brings expertise in Edge AI, perception technologies, and digital twins -making his session a must-attend for anyone driving the future of autonomous machines and robotics.

Why You Shouldn’t Miss This Session

Whether you’re developing autonomous robots, industrial systems, or AI-powered machinery, this session offers practical insights into leveraging NVIDIA’s Edge AI hardware and digital twin ecosystem. Learn how Jetson Thor, advanced perception technologies, and Omniverse-based simulations can speed up breakthroughs, reduce deployment risks, and unlock new opportunities in robotics and industrial automation.

At ImagingNext, Maycon brings hands-on expertise in autonomous systems and Edge AI – making his session a must-attend for anyone looking to push the boundaries of intelligent robotics and industrial innovation.

Don’t miss your chance to see how Edge AI, advanced perception, and digital twins are accelerating autonomous robotics and industrial systems – register now: Imaging Next – FRAMOS