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Robots don’t have a shared sense of space, making it almost impossible for different robots to collaborate in the same environment. This creates issues in environments with robots from a single manufacturer, never mind a mixed fleet of robots, drones and devices from various manufacturers.
At Auki Labs, we’re pushing the boundaries of robotics and AI, as part of a bold vision: enabling multiple robots to operate collaboratively and efficiently, powered by the posemesh—a shared spatial map that transforms how robots perceive and interact with the world.
Today we are bringing another update from our resident roboticist Phil on our robotics journey. In this update Phil outlines the challenges that robots face when inhabiting the same physical space and gives us a sneak peek at our next robotic coworkers.
Most spatial maps generated today lack context. They provide detailed geometry, but no understanding of what objects are or their purpose.
Robots and AI systems must rely on computationally heavy processes like object recognition and classification to make sense of their environments.
This not only increases the demand for onboard processing power but also slows down decision-making, limiting the scalability of autonomous systems.
The Unitree G1 and Go2-W serve as ideal platforms for deploying the posemesh.
With their advanced sensors and high mobility, they excel at navigating pre-built spatial maps.
By reducing the need for each robot to independently process its environment, the posemesh enables them to operate more efficiently and with fewer computational demands.
A shared spatial map changes the game.
With the posemesh, robots can operate collaboratively, accessing the same spatial data to understand where they are in relation to each other and the environment.
This reduces redundancy and ensures that every robot is working with the same frame of reference.
The shared map also allows for coordinated movements and efficient task allocation without requiring each robot to rely solely on resource-intensive local processing.
Our investment in the Unitree G1 and Go2-W isn’t just about hardware—it’s about enabling smarter, scalable systems.
By combining these advanced robots with the posemesh, we’re offloading a significant computational load, freeing up resources to focus on complex tasks.
This innovation accelerates AI development, improves robot-to-robot communication, and lays the foundation for highly efficient autonomous systems across industries.
With the posemesh, we’re creating a future where robots collaborate intelligently, adapting to environments in real-time while overcoming computational bottlenecks.
By eliminating the need for constant, isolated environmental processing, we’re paving the way for fleets of machines that work together efficiently and effectively.
One of the biggest challenges facing wide-scale adoption of robots is the issue of mixed or hybrid environments. At Auki Labs, we’re pioneering a smarter, more collaborative approach to robotics and AI. We’re on a mission to unlock the full potential of mixed fleets and make them more than a sum of their parts.
As part of this mission we are thrilled to announce the launch of our Auki Robotics GitHub repository. We have also released our first tool: Robot-Compatible Map Extraction! It is easier than ever now for the robotics community to integrate with posemesh domains. Our new tool allows for seamless extraction of robot-compatible maps, essential for autonomous navigation and environment understanding.
If your space is mapped in Cactus AI, you can deploy robots in seconds—no need to manually teach them the environment. This powerful feature helps to streamline deployment and drastically reduces setup time.
If you missed our previous robotics update, check it out.
Stay tuned for the next update from our robotics team.
Auki is building the posemesh, a decentralized machine perception network for the next 100 billion people, devices and AI on Earth and beyond. The posemesh is 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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The Posemesh is an open-source protocol that powers a decentralized, blockchain-based spatial computing network.
The Posemesh is 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. The posemesh is the next step in the decentralization movement, responding as an antidote to the growing power of big tech.
The Posemesh has tasked Auki Labs with developing the software infrastructure of the posemesh.
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