@mihdalal: I've recently become a much bigger believer in cross embodiment (among many things I've had to update on this year!), t…

X AI KOLs Following News

Summary

Physical Intelligence announced the beta release of the Pi API, allowing teams to adapt its robot foundation models to diverse robots and applications, which observers see as a major step toward cross-embodiment robotics.

I've recently become a much bigger believer in cross embodiment (among many things I've had to update on this year!), this is a huge step in that direction, awesome work from the @physical_int team! I was just commenting to a friend recently that I haven't seen any big robots controlled with robot foundation models yet and here we go :) 🚜
Original Article
View Cached Full Text

Cached at: 10/17/26, 10:59 PM

I’ve recently become a much bigger believer in cross embodiment (among many things I’ve had to update on this year!), this is a huge step in that direction, awesome work from the @physical_int team! I was just commenting to a friend recently that I haven’t seen any big robots controlled with robot foundation models yet and here we go :) 🚜

Physical Intelligence (@physical_int): Announcing the beta release of the Pi API. We’ve partnered with companies across diverse industries to adapt our models to their robots and applications, from harvesting strawberries to assembling servers. Now we’re opening access to more teams.

Similar Articles

Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models

Hugging Face Daily Papers

Embodied-R1.5 is a unified embodied foundation model that achieves state-of-the-art performance on 16 out of 24 embodied vision-language benchmarks using multi-task balanced reinforcement learning. It introduces a Planner-Grounder-Corrector closed-loop framework for long-horizon tasks and is open-sourced to facilitate future research.

Xiaomi Open-Sources Embodied AI Foundation Model Xiaomi-Robotics-1 (4 minute read)

TLDR AI

Xiaomi open-sourced Xiaomi-Robotics-1, an embodied AI foundation model pretrained on over 100,000 hours of UMI data and post-trained on 10,000+ hours of cross-embodiment data. The release includes the full real-robot post-training and deployment pipeline, aiming to challenge proprietary robotics models from Figure AI and Tesla.