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Analog Devices at NVIDIA GTC 2026

Event Details

  • 17/03/2026 — 19/03/2026
  • San Jose Convention Center
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About the Event

ADI brings physical intelligence to humanoid robots. Uniting sensors, motor control, real-time connectivity, AI, and high-fidelity simulation in a software-defined humanoid hand.

The result: faster design cycles, reliable sim to real transfer, and a clear path from prototype to scalable, manufacturable robotic hands.

Find Analog Devices at booth 3203.

Learn more here.

Reducing the Sim2Real Gap for Industrial RoboticsPhilip Sharos Principal Engineer, Edge AI

Date: Monday, March 16

Time: 3:00 pm – 3:15 pm

Location: Expo Hall Theater

Robotic systems increasingly demonstrate strong capabilities, yet still struggle with real world dexterity due to limitations in sensing, actuation, and high quality training data. This session, presented by Synopsys and ADI, discusses the critical need for new sensing modalities, and high fidelity simulation techniques that accelerate learning and significantly narrow the Sim to Real gap for industrial manipulation. The presentation will also touch on ADI’s work on novel dexterity benchmarks and Synopsys contributions to deformable objects and connector assets.

Bringing Physical Intelligence into Scalable Robotics Simulation: Real2Sim Validation for Industrial Robotics – Tao Yu, Director, Dexterous AI, Emerging Business Unit

Date: Tuesday, March 17

Time: 2:00 PM

Location: Lightwheel booth 1406

This talk presents a joint effort between Analog Devices and Lightwheel to improve simulation fidelity for high precision robotic tasks. The work focuses on a real2sim validation pipeline that compares measured forces, contact behavior, and deformable interactions against simulated results. By pairing advanced sensing with a calibrated physics engine, the collaboration provides a clear way to evaluate where simulation aligns with physical measurements and where it does not. The goal is to support more dependable training and evaluation for manipulation systems that depend on subtle physical feedback.

The Edge of the Edge: Redefining GPU-Enabled AI Sensor Processing – Paul Golding Vice President, Edge AI

Date: Wednesday, March 18

Time: 3:00 PM – 3:40 PM

Analog Devices, Inc. (ADI), Physical AI and edge supercomputing are both concerned with the timely delivery and processing of physical measurements on GPU to build the future of autonomous decision-making across industries and domains—from scientific instruments to industrial robotics. During this talk, we will hear from leading sensor manufacturers who are building real-time AI solutions with NVIDIA and the Holoscan platform; they’ll share their best practices and their vision, and highlight transformational work toward a future of AI-powered instruments.

Register here

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