June 23, 2025

Auki community update recap: Jun 23, 2025

Post-SuperAI: Humanoids, Hybrid Robotics, and a Decentralized AI Future

We've just returned from nearly a month on the road, showcasing our innovations at major conferences and diving deep into the future of robotics and AI. Here are some highlights and insights from our journey.

Success at AWE and SuperAI

Our recent appearance at the Augmented World Expo (AWE) was a big success. We proudly won two awards:

  • Best Enterprise Solution for Cactus
  • Best Web3 Implementation for the Posemesh

Immediately following AWE, we headed to SuperAI in Singapore, where Nils moderated a key panel featuring leading humanoid robotics companies Unitree and Persona AI, discussing crucial questions about how humanoids will come to market.

Humanoid Robots: General AI vs. App Store Model

One intriguing debate that emerged was whether humanoid robots will run on a single general-purpose AI or use an "app store" model, with specialized applications handling specific tasks. We're firmly in the "app store" camp, believing it's the most realistic model in the near term. Due to significant hardware differences between robots, creating robot-agnostic manipulation apps remains challenging.

Our position was well-received, underscoring our perspective that robots will require distinct software layers—particularly separate layers for locomotion, manipulation, and application logic—to ensure cross-robot interoperability.

Auki’s Vision: Six Layers of the Humanoid Stack

Nils also gave a keynote presenting our structured vision for the humanoid stack, emphasizing six distinct layers:

  1. Locomotion
  2. Manipulation
  3. Perception
  4. Mapping
  5. Positioning
  6. Application

Each layer must function independently but integrate seamlessly through clear APIs. Our focus at Auki is particularly on collaborative perception, mapping, and positioning—critical elements that remain robot-agnostic and foundational for widespread adoption.

Why Mapping Should Be Independent from Perception

We advocate for keeping mapping separate from perception. Many current robotics companies tightly couple these two layers, which we argue is problematic because environments frequently change, requiring constant retraining of perception models if tightly linked to mapping.

Instead, we treat maps as context, external to AI perception models, enabling greater flexibility and adaptability.

Hybrid Robotics: Bridging Humans and AI

One of our innovative approaches is what we call "hybrid robotics," combining human locomotion and manipulation with AI-driven perception and mapping. This approach allows us to deliver embodied AI solutions immediately without waiting for fully capable humanoid robots.

Our recent multimillion-dollar deal proves this approach’s immediate value, demonstrating that spatial AI can deliver practical, scalable benefits today—even using just smartphones.

Future Vision: An Open Robotic Operating System

Looking forward, we aim to expand our efforts significantly. Ultimately, our ambition includes developing a robotic operating system. We see this as the future, believing the most widely used OS globally in the coming decades won't be iOS or Android, but the operating systems running robots.

We're currently collaborating closely with Mentra, who have successfully integrated our spatial awareness technology into their smart glasses (weighing only 44 grams!). This technology, coupled with wearable batteries allowing full-day use, represents a major leap toward practically integrating AI into daily human activities.

Continuing Momentum

We recently impressed major robotics companies in Shanghai with our interoperable robot orchestration system, and we're experiencing significant traction from industry leaders.

We're actively looking to expand our business development efforts. If you’re passionate about bringing innovative technology to market, reach out—we have plenty of exciting work ahead.

Join our community on Discord to participate directly in building decentralized, community-owned infrastructure for the future of AI and robotics.

Watch the whole update on X.

About Auki Labs

Auki is building the Auki network, a decentralized machine perception network for the next 100 billion people, devices and AI on Earth and beyond. The Auki network is a posemesh, an external and collaborative sense of space that machines and AI can use to understand the physical world.

Our mission is to improve civilization’s intercognitive capacity; our ability to think, experience and solve problems together with each other and AI. The greatest way to extend human reach is to collaborate with others. We are building consciousness-expanding technology to reduce the friction of communication and bridge minds.

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About the Auki network

The Auki network is a posemesh: a decentralized machine perception network and collaborative spatial computing protocol, designed to allow digital devices to securely and privately exchange spatial data and computing power to form a shared understanding of the physical world.

The Auki network is an open-source protocol that powers a decentralized, blockchain-based spatial computing network. Designed for a future where spatial computing is both collaborative and privacy-preserving, it limits any organization's surveillance capabilities and encourages sovereign ownership of private maps of personal and public spaces.

The decentralization also offers a competitive advantage, especially in shared spatial computing sessions, AR for example, where low latency is crucial.

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