San Jose Convention Center
March 16-19
Booth 3203
ADI brings physical intelligence to humanoid robots. We unite 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.
Paul Golding
Vice President, Edge AI
The Edge of the Edge: Redefining GPU-Enabled AI Sensor Processing [S81525]
Date: Wednesday, March 18
Time: 3:00 PM – 3:40 PM
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.
ADI’s software defined humanoid hand demonstration platform combines our next generation tactile sensor with a precision signal chain plus motor control to deliver unmatched contact accuracy and control. New sensing modalities, enhanced dexterity, and AI-ready simulation assets accelerate prototyping, boost performance, and provide a clear, scalable path from early concepts to manufacturable robotic systems.
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Analog Devices is driving the transition to 800 V rack-level power distribution for next-generation AI data centers by focusing on high-voltage protection and conversion, power delivery, and advanced control technologies. As high-performance GPUs drive unprecedented power and current demands, the industry is shifting from legacy 48 V architectures to 800 V systems. ADI’s advanced high-voltage hot-swap technology enables a safe and efficient connection from 800 V down to the GPU core, with precise inrush control, comprehensive telemetry, and robust protection. These high-density “800 V-to-core” power solutions—spanning 800 V distribution and protection, high-voltage DC/DC conversion, intermediate bus converters (IBC), and smart multiphase load regulation—deliver exceptional power density, support massive currents, and ensure the reliability required for modern AI data centers.
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Building a robotic signal chain for humanoid hands is the starting point. Achieving reliable dexterity requires selecting the right sensing and actuation components, integrating them into a coherent signal chain, and developing control policies that can perform under real world constraints. Advanced manipulation depends on AI driven policies shaped by both manual demonstrations and synthetic data. ADI reduces this complexity with physics aligned sensing, mixed signal compute and a robotics policy stack that accelerates sim to real development. These capabilities are demonstrated on our software defined humanoid hand platform.
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ADI, together with our partners at Synopsys, is showcasing a simulation-driven recreation of our next-generation robotic dexterity benchmarking tests. The demo integrates ADI’s next generation Tactile Sensors with Time-of-Flight sensing and Ansys Mechanical multiphysics simulation to enable advanced intelligent cable manipulation. It combines a bi-manual robotic arm setup from Flexiv with force, vision, and contact sensing, all connected within a high-fidelity digital twin to deliver predictive, optimized, and robust performance in dynamic industrial environments.
To see the demo, visit the Synopsys NVIDIA GTC booth in Exhibit Hall 2, Booth 1135.
ADI and its partners are working on a new benchmark to help the industry objectively assess robotic dexterity solutions and accelerate innovation at scale. Complemented by datasets and AI simulation assets, this effort is showcased through the first test bench and its interactive digital twin at our booth.
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