Physical AI and Robotics Conference Sessions

The world’s largest industries are racing to become software-defined, using the latest advancements in AI and simulation technologies to transform their enterprises. Hear from this panel of distinguished luminaries about their journeys to industrial digitalization. Learn how they're leveraging generative AI, open data frameworks, and advanced digital twins to unlock new possibilities across their organizations, from accelerated planning to a new era of agentic-AI powered autonomous operations.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

NVIDIA Cosmos is transforming how robots and autonomous vehicles learn, accelerating physics-aware synthetic video generation with world foundation models. Join Ming-Yu, NVIDIA’s VP of Generative AI Research, to see how Cosmos is democratizing physical AI development—giving developers open models and tools to build custom world models faster than ever.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Developers are building more intelligent, responsive, and efficient humanoid robots capable of transforming industries such as manufacturing, healthcare, and retail. NVIDIA is building Isaac GR00T — a platform for developing humanoid robots. Isaac GR00T has four parts: robot foundation models for cognition and control, simulation frameworks built on NVIDIA Omniverse and Cosmos, data pipelines for generating synthetic data and environments, and finally — a supercomputer in the robot Jetson AGX Thor. This engaging session will cover the latest advancements in each of the four pillars of the platform built by NVIDIA Research and Engineering through concrete use cases and examples.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Attend this lightning talk session to gain a comprehensive understanding of the current state of AI-enabled robotics and automation, as well as a glimpse into the future of smart manufacturing. As we enter a new era of industrial automation, the integration of artificial intelligence, advanced robotics, and smart manufacturing technologies is revolutionizing the production landscape. This session brings together industry leaders to explore the cutting-edge developments at the intersection of AI, robotics, and industrial automation. Experts will discuss the integration of AI into autonomous mobile robots (AMRs) and industrial robot arms, and the development of more intuitive robotic systems. They will share how their companies are leveraging AI technologies to enhance robotic capabilities, improve autonomous systems, and optimize manufacturing processes.

Important: Near capacity, highly suggest arriving early. Attendees are let in on a first-come, first-served basis.

Next-generation robots will need to sense, plan, and act autonomously. A "sim-first" approach is required to ensure that entire robot stack performs. Come and connect with NVIDIA experts to learn how you use Isaac Sim for your robotics workflows, including generating synthetic data for perception model training and software-in-loop testing to validate your robot stack.

Important: Connect with the Experts sessions are interactive sessions that give you a unique opportunity to meet, in either a group or one-on-one setting, with the minds behind NVIDIA’s products and research to get your questions answered. Attendees can meet with experts on a first-come, first-served basis.

Robot learning is a crucial for developing adaptable and efficient robots so you can build effective robot policies and get robots to adapt to new skills across many embodiments thru a simulation-first approach. Join NVIDIA robot learning experts on how to bridge the gap between simulation and real-world performance. NVIDIA's Isaac Lab, Isaac Sim, and Omniverse platforms offer powerful tools for synthetic data generation, reinforcement learning, imitation learning, and sim-to-real transfer. Please note that Stephan Pleines and Teresa Conceicao will only be present on Friday. All other listed experts will be present at both session times.

Important: Connect with the Experts sessions are interactive sessions that give you a unique opportunity to meet, in either a group or one-on-one setting, with the minds behind NVIDIA’s products and research to get your questions answered. Attendees can meet with experts on a first-come, first-served basis.

This immersive lab introduces participants to the cutting-edge field of imitation learning for robotics. Using NVIDIA's GR00T and Isaac Lab frameworks, attendees will experience the full pipeline of imitation learning, from data collection via teleoperation to training and deploying an autonomous robot policy. The lab combines theoretical concepts with practical, hands-on exercises, allowing participants to gather data using Apple Vision Pro, synthesize additional training examples, and train a robot using Robomimic within the Isaac Lab environment. By the end of the session, attendees will have created and tested their own imitation learning model, gaining valuable insights into this powerful approach for robot skill acquisition.

For participants who plan on leveraging the Apple Vision Pro for data capture, please note that glasses are not permitted to be worn with the device.

Prerequisite(s):

• Basic understanding of robotics concepts and principles, including teleoperation.
• Experience with programming, particularly in Python.
• Understanding of computer vision concepts and 3D simulation environments.
• Familiarity with NVIDIA's robotics development platforms like Isaac Sim.
• Familiarity with spatial computing concepts and Apple's development ecosystem.

In this introductory, hands-on course, learners will explore NVIDIA Cosmos™, a platform of generative world foundation models (WFM), advanced tokenizers, guardrails, and an accelerated data processing and curation pipeline built to accelerate the development of physical AI.

Prerequisite(s):

• An understanding of AI model training, fine tuning, and deep learning frameworks.
• Experience with Python programming.
• Basic experience with 3D software and workflows.

This hands-on lab introduces developers to NVIDIA Omniverse Cloud Sensor RTX, a set of APIs and microservices for physically accurate sensor simulation. Ideal for robotics engineers, autonomous vehicle developers, and AI specialists, this lab offers practical experience in leveraging the Sensor RTX APIs to accelerate the creation and testing of autonomous systems.

Prerequisite(s):

• Experience with 3D software, Python and APIs.

Learn how to accelerate ROS 2 workloads using NVIDIA’s latest GPU-powered libraries for AI and robotics. This hands-on lab will explore how to leverage generative AI and GPU-accelerated ROS 2 packages to enhance robotic workloads in real time. Gain experience with optimizing ROS 2 packages for GPU acceleration, including techniques for improving performance and reducing latency in AI perception, navigation, and more. We'll also demonstrate NVIDIA Isaac's powerful AI and simulation tools, designed for seamless integration with ROS 2.

Prerequisite(s):

• Experience with OpenUSD, NVIDIA Omniverse and 3D CAD software.
• Experience in Python.
• Basic knowledge of NVIDIA Isaac Sim and Isaac ROS.