# Deep Dive into Arm’s Physical AI and Robotics Strategies with Drew Henry

- Show: [The Robot Report Podcast](https://hardwarepodcasts.com/podcast/the-robot-report-podcast)
- Published: 2026-06-23
- Length: 1h 11m
- Page: https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry
- Listen: https://soundcloud.com/robot-report-podcast/deep-dive-into-arms-physical

## Summary

Drew Henry, Executive Vice President of Arm’s Physical AI business unit, explains how Arm is shifting from component-level design to system-level architecture for robotics and autonomous vehicles. He details the critical engineering constraints of physical AI, including the need for sub-millisecond latency, power efficiency measured in 'tokens per joule per kilogram,' and the integration of perception-driven and interactive-driven compute planes. Henry also discusses Arm's 'Seamless Fabric' software strategy, the industry's reliance on simulation to bridge the data gap for humanoid robots, and the move toward distributed computing architectures to handle complex sensor streams.

## Chapters

- [0:37](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=37) Introduction and News: FairMinds Acquires Kinesi Robotics
- [6:59](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=419) News: NVIDIA Halos Safety System and UPenn Construction Robotics
- [18:49](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=1129) Arm's Physical AI Business Unit and Market Context
- [29:26](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=1766) The End of Moore's Law and Domain-Specific Architectures
- [32:32](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=1952) The Data Problem and Simulation for Robotics Training
- [35:20](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=2120) Seamless Fabric Strategy and Software Compatibility
- [44:16](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=2656) Compute Architecture: Centralized vs. Distributed for Humanoids
- [51:22](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=3082) Power Efficiency: Tokens per Joule per Kilogram
- [57:28](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=3448) Optimizing Sensor-to-Actuator Latency and Quantization
- [1:02:51](https://hardwarepodcasts.com/podcast/the-robot-report-podcast/2026-06-23-deep-dive-into-arms-physical-ai-and-robotics-strategies-with-drew-henry#t=3771) Simulation, World Models, and Digital Twins

## Topics

- [Microcontrollers & dev platforms](https://hardwarepodcasts.com/topic/microcontrollers-and-platforms)
- [AI & machine learning](https://hardwarepodcasts.com/topic/ai-and-machine-learning)
- [Batteries & low-power design](https://hardwarepodcasts.com/topic/batteries-and-low-power)
- [Sensors & measurement in products](https://hardwarepodcasts.com/topic/sensors)
- [Prototyping & iteration](https://hardwarepodcasts.com/topic/prototyping)

## Most relevant to

large enterprises

## Mentioned

- Arm (company)
- NVIDIA (company)
- GreyOrange (company)
- FairMinds (company)
- Kinesi Robotics (company)
- Bear Robotics (company)
- Built Robotics (company)
- University of Pennsylvania (company)
- Isaac Sim (product)
- AGI CPU (product)
- Ajibot (company)
- Siemens (company)
- Synopsys (company)
- Tesla (company)
- Google (company)
- Meta (company)
- Amazon (company)
- Qualcomm (company)

## Related episodes from other shows

- [When AI Gets a Body: Physical AI, Humanoids and the Future of Silicon](https://hardwarepodcasts.com/podcast/ee-times-current/2026-06-05-when-ai-gets-a-body-physical-ai-humanoids-and-the-future-of-silicon) (EE Times Current)
- [Hands-on Physical AI with Kevin Cloutier](https://hardwarepodcasts.com/podcast/the-amp-hour/2026-08-26-hands-on-physical-ai-with-kevin-cloutier) (The Amp Hour)
- [Robots Need Physical, Not Just Artificial, Intelligence](https://hardwarepodcasts.com/podcast/ee-times-current/2025-01-03-robots-need-physical-not-just-artificial-intelligence) (EE Times Current)
- [Ep. 14 | Leveraging 5G, AI, and Heterogeneous Computing for Autonomous Robotics](https://hardwarepodcasts.com/podcast/moores-lobby/2020-12-04-ep-14-leveraging-5g-ai-and-heterogeneous-computing-for-autonomous-robotics) (Moore's Lobby)
- [235. Arm’s Vince Jesaitis on How AI Is Moving from the Cloud to Your Pocket](https://hardwarepodcasts.com/podcast/the-next-byte-podcast/2025-12-09-235-arms-vince-jesaitis-on-how-ai-is-moving-from-the-cloud-to-your-pocket) (The Next Byte Podcast)

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