👻Ghost Ride: Robo-taxis may finally hit the road this year. Elon Musk claims that Tesla will launch a self-driving ride-hailing service in Austin this June, using its own fleet of vehicles and an “unsupervised” version of its Full Self-Driving software. Musk says the rollout will expand only when safety surpasses human drivers, but did not divulge any more details.

👨‍🎓Robot Academy: Nvidia hit the ground running this year with the launch of Cosmos, a platform designed to fast-track the development of physical AI systems like autonomous vehicles and robots. It creates photoreal, synthetic simulations based on a combination of prompts, which helps developers train and test models more efficiently.
🧠Mind Control: Brain implant startup Neuralink shared a video of what appears to be someone controlling a robotic arm with their mind to write a word. The implant presumably reads neural signals from the motor cortex and wirelessly sends them to the robotic arm, which then translates the signal into movement that produces the writing.
🪼Jelly Bot: Cornell researchers have developed bio-inspired robots that use 'embodied energy' — a method that integrates the power source directly into the robot’s body. The designs — a jellyfish and a modular worm — run on a hydraulic fluid-powered battery, which cuts extra weight and cost, making the movements more lifelike.
🙄First Look: Leaked footage just gave us a peek at DJI’s upcoming Mavic 4 Pro, and it’s packed with some major upgrades — a three-camera system with 6x zoom, improved low-light performance, vertical video capture, a sleeker, more aerodynamic design, and better thermal management. No official release date yet, but rumors point to early 2025.
#Robotics

@OpenAI is reportedly exploring the development of a humanoid robot, with discussions centered around advancing robotic technology.$ETH
Market sources suggest that @OpenAI aims to create a robot with sophisticated capabilities, though details remain limited. This move could signify a major leap in AI and robotics, merging @OpenAI s expertise in artificial intelligence with the emerging field of robotics$BNB . More updates are expected as the development progresses.
For more information, you can read the full article here.

#OpenAI #HumanoidRobot #AI #Robotics #ArtificialIntelligence #RoboticDevelopment

Leading the pace in technical innovation, Auki Labs is developing novel approaches to bridging the divide between artificial intelligence, robotics, and people. Auki Labs hopes to revolutionize how machines view and engage with the physical environment by creating the Posemesh, a decentralized and cooperative spatial computing network. We will examine the vision, technology, and wide-ranging effects of Auki Labs’ innovative work in this in-depth piece.
The Purpose of Auki Labs
The primary goal of Auki Labs is to increase civilization’s ability for intercognition. This means improving our capacity for cooperative problem-solving, communication, and thought processes — not just with intelligent robots, but also with our other. Auki Labs is laying the groundwork for a more interconnected and effective future by developing solutions that facilitate smooth communication and mutual understanding.
The Intercognitive Method
Intercognition: What is it? The ability of different intelligences — human, artificial, and hybrid — to cooperate and work through challenging issues together is known as intercognition.
Extending Human Reach: Auki Labs wants to develop technology that enhances human potential and promotes closer cooperation by lowering the barriers to communication between humans and AI.
A Decentralized Network for Spatial Computing: The Posemesh
The main product of Auki Labs, the Posemesh, is intended to transform the way AI and machines perceive and interact with the real environment. The Posemesh is open-source, decentralized, and privacy-preserving in contrast to conventional spatial computing systems that depend on centralized control.
The Posemesh’s Operation
Shared Spatial Map: The Posemesh allows robots and other devices to sense their locations in relation to one another and the surrounding environment by superimposing a shared spatial framework onto the surroundings.
Decentralized Protocol: The Posemesh promotes transparency and sovereignty by utilizing blockchain technology to guarantee that no single party controls the network.
Low Latency: Applications where real-time collaboration is essential benefit greatly from the decentralized architecture’s ability to reduce latency.
Uses for the Posemesh
Multiple users can engage with the same virtual items in real-world settings because to Posemesh’s support for shared augmented reality (AR) experiences.
Robotics: Posemesh-equipped robots can work together more efficiently, navigating communal areas with a shared awareness of their environment.
Smart Cities: The Posemesh can facilitate intelligent resource allocation, traffic management, and emergency response systems by interfacing with urban infrastructure.
Innovation in Robotics at Auki Labs
In sectors like industry and healthcare, robots are becoming more and more common. However, the shortcomings of the existing spatial computing systems have prevented their widespread use. Posemesh from Auki Labs solves these issues and makes it possible for robots to work together and effectively.
The Function of Go2-W and Unitree G1
To incorporate the Posemesh onto cutting-edge robotic platforms such as the Unitree G1 and Go2-W, Auki Labs has teamed up with Unitree Robotics. These robots are perfect for real-world applications because of their great mobility, sophisticated sensors, and outstanding performance.
Improved Cooperation: These robots may easily coordinate their motions and tasks by utilizing the Posemesh.
Simplified Deployment: The Posemesh minimizes deployment time and expense by enabling robots to function in novel surroundings without requiring a lot of manual setup.
Use Cases in the Real World
Warehouse Automation: Posemesh-equipped robots can work with other equipment, optimize routes, and handle inventory effectively.
Healthcare Assistance: By carrying supplies, keeping an eye on patients, and carrying out repetitive duties, autonomous robots can help healthcare professionals.
Disaster Response: In an emergency, robots equipped with the Posemesh can cooperate to conduct search and rescue missions and navigate dangerous areas.
Decentralization and Privacy: The Posemesh’s Ethical Basis
Privacy is one of the most important issues in contemporary technology. Concerns regarding monitoring and data misuse are raised by centralized systems, which frequently concentrate too much power in the hands of a small number of companies. The decentralized design of Posemesh is how Auki Labs tackles these issues.
Features That Preserve Privacy
Data Sovereignty: Users retain sovereignty over their data, ensuring that personal and sensitive information remains private.
Open-Source Transparency: Auki Labs fosters community trust and cooperation by making the Posemesh’s protocols open-source.
Decreased Surveillance: Because the Posemesh is decentralized, it is more difficult for one entity to monitor or take advantage of the network.
Community Involvement and Open Innovation
Auki Labs is dedicated to encouraging creativity in the larger tech sector. They enable developers, researchers, and entrepreneurs to expand on their work by freely sharing their tools and resources.
The GitHub repository for Auki Robotics
The robotics community can find a wealth of information on Auki Labs’ GitHub site. Highlights consist of:
Robot-Compatible Map Extraction technology: This technology makes it easier than ever to deploy robots in unfamiliar locations by streamlining the process of extracting maps for autonomous navigation.
Integration with Cactus AI: Posemesh-enabled robots may rapidly deploy spaces mapped with Cactus AI, significantly cutting down on setup time.
Promoting Cooperation
By requesting contributions from researchers and developers around the globe, Auki Labs is fostering a thriving innovation environment. The Posemesh will continue to be at the forefront of spatial computing technology thanks to this cooperative approach.
Intercognitive Collaboration’s Future
The potential for intercognitive cooperation is almost endless as Auki Labs develops the Posemesh and broadens its uses. The Posemesh has the potential to revolutionize many facets of contemporary life, from facilitating smarter cities to strengthening human-machine collaborations.
An Overview of the Upcoming 100 Billion Devices
According to Auki Labs, a common notion of space would enable billions of gadgets, robots, and AI systems to work in unison in the future. This network of connections will:
Accelerate Innovation: The Posemesh will promote quicker technical developments by lowering obstacles to cooperation.
Boost Efficiency: Across sectors, shared spatial computing will maximize work management and resource allocation.
Empower Humanity: Auki Labs seeks to realize the full potential of human-machine partnership by encouraging deeper
The Innovation Legacy of Auki Labs
Beyond just a technological business, Auki Labs is a trailblazing force influencing the direction of robotics and spatial computing. With inventions like the Posemesh, Auki Labs is paving the way for a future in which humans and machines can work together with ease, increasing our combined capacity to overcome obstacles and reach new heights.
By emphasizing open innovation, decentralization, and privacy, Auki Labs is establishing a new benchmark for morally sound and significant technology. The future of intercognitive collaboration appears to be more promising than ever as they keep pushing the envelope of what is conceivable.
My Opinion
I consider the advancements and goals outlined in the essay to be nothing less than revolutionary as a user of Auki Labs. The decentralized spatial computing network Posemesh’s launch seems like the big step forward the AI and robotics sectors have been waiting for. It addresses a basic issue that has impeded robot-device collaboration: the absence of a common, contextual knowledge of space.
It’s remarkable that the Unitree G1 and Go2-W were selected as the robotic platforms to showcase the Posemesh’s capabilities. These robots demonstrate the possibility of smooth cooperation amongst robots in real-world settings thanks to their sophisticated sensors and agility as well as the Posemesh’s capacity to generate a shared spatial map.
The dedication of Auki Labs to privacy and decentralization is what most appeals to me. Posemesh stands out as a solution that gives customers the ability to maintain control over their data in a world when big tech frequently centralizes control and data. This strategy fosters trust and guarantees that individual privacy won’t be sacrificed for innovation.
Being a part of the Auki community, I’m really happy with their decision to go open-source. In addition to creating cutting-edge technology, Auki Labs is creating a thriving ecosystem where academics and developers can contribute to and profit from these developments by making tools like the Robot-Compatible Map Extraction available and encouraging teamwork on GitHub.
A positive vision of the future is presented by the notion of billions of devices cooperating peacefully under the direction of a common spatial knowledge. Auki Labs is creating the groundwork for a more efficient and cooperative world in addition to developing new technologies. Being a part of this adventure makes me proud, and I’m excited to watch how the Posemesh develops and changes industries all around the world.

#DePIN #auki #AI #Robotics

Robotics has advanced significantly in recent years, and autonomous systems are now more common in sectors including manufacturing, healthcare, logistics, and even entertainment. Nonetheless, a recurring obstacle has impeded the smooth implementation of multi-robot systems: the absence of a common spatial concept. To address these issues, Auki Labs created Posemesh, a collaborative and decentralized spatial computing network. This article examines Posemesh's revolutionary potential to transform robotic collaboration and its cross-sector application.
The Situation of Robotics Cooperation Today
Nowadays, most robots work in separate silos. For navigation and interaction with its surroundings, each robotic system frequently uses its own unique spatial maps and computational techniques. There are serious inefficiencies brought about by this fragmentation:
Redundant Mapping: Every robot has to create its own spatial map, which uses resources and results in work that overlaps.
Limited Interoperability: It is difficult for robots made by various manufacturers to cooperate or communicate with one another.
Computational bottlenecks: Operations are slowed down and hardware costs are raised by the onboard computing needs for tasks like object recognition and navigation.
In settings like automated warehouses or urban areas that call for diverse fleets of robots and devices, these problems become more troublesome.
The Significance of Cooperation
The ability of robots to cooperate, or collaborative robotics, opens up a number of benefits:
Enhanced Efficiency: Depending on the capabilities and workload of each robot, shared duties can be allocated.
Decreased Redundancy: Robots no longer need to repeatedly scan their surroundings because they may rely on shared spatial data.
Enhanced Scalability: It is possible to deploy multi-robot systems at scale without experiencing corresponding increases in complexity.
However, because of the technological constraints of current spatial computing systems, these advantages are still mainly unmet.
Presenting the Posemesh: A Revolution in Thought
@AukiNetwork tackles these issues head-on. Fundamentally, the Posemesh is a decentralized spatial computing network that gives all of the linked robots and gadgets a common sense of space.
Essential Elements of the Posemesh
Shared Spatial Maps: By giving all devices in the network consistent positioning data, the Posemesh gives robots access to a single spatial framework.
Decentralized Architecture: The Posemesh uses blockchain technology to guarantee robustness, privacy, and transparency in contrast to centralized systems.
Low Latency: The Posemesh's effective data-sharing features enable real-time cooperation.
Open-Source Protocol: Auki Labs encourages creativity and community-driven advancements by making the Posemesh open-source.
How It Operates
Creating a dynamic spatial map of the surroundings and sharing it with all connected devices is how the Posemesh works. This enables robots to:
- Recognize where they stand in relation to one another and the surroundings.
—Organize activities and movements without wasting time on unnecessary computations.
— Adjust in real time to impediments or priorities that change.
Posemesh Applications in Robotics
The Posemesh has the potential to revolutionize how robots work together and perform across a wide range of industries. We look at its effects in several important domains below.
1. Storage and Logistics
Robots are employed in warehouses to pick, sort, and move goods. Traditionally, there are bottlenecks and inefficiencies because each robot navigates on its own.
Posemesh in Action: Robots can do the following using a shared spatial map:
Avoid traffic jams and crashes by optimizing routes collectively.
Assign work in a dynamic manner according to capacity and proximity.
Provide up-to-date information on inventory locations.
As a result, orders are fulfilled more quickly, less energy is used, and total productivity rises.
2. Medical Care and Support
Whether robots are delivering drugs, helping with surgeries, or keeping an eye on patients, healthcare settings require accuracy and dependability.
Posemesh Advantages:
- Critical supplies can be delivered on time thanks to the coordination of robots.
- In crowded hospital hallways, shared spatial awareness facilitates easier navigation.
- Robots having Posemesh capabilities can work alongside medical personnel by adapting to their demands on the fly.
3. Production
Automated guided vehicles (AGVs), robotic arms, and other robotic systems are frequently used in factories. It can be difficult to synchronize these systems, though.
Cooperative Production:
By ensuring that AGVs and robotic arms work together, the Posemesh lowers downtime and boosts throughput.
Robots are able to adjust in real time to modifications in equipment configurations or production schedules.
5. Search and Rescue and Disaster Response
Time is of the essence in catastrophe situations. Posemesh-enabled robots can cooperate to find survivors, traverse dangerous situations, and provide assistance.
Coordinated Reaction:
- Robots can methodically traverse more ground when they have shared spatial awareness.
- Dynamic task distribution depending on developing circumstances is made possible by real-time updates.
Getting Past Obstacles Using Posemesh
Although the Posemesh has the capacity to change things, putting such a system into place has its own set of difficulties. To solve these problems, Auki Labs has taken the following proactive measures:
1. Compatibility
For mixed-fleet scenarios, compatibility across various robots and devices is essential.
Solution: Because Posemesh is open-source, developers can make integrations and adapters for a variety of platforms.
2. The ability to scale
It gets harder to maintain good speed and low latency as the number of connected devices increases.
The Posemesh's decentralized architecture ensures scalability without sacrificing efficiency by distributing computing burdens.
3. Security and Privacy
Concerns around abuse and surveillance arise when spatial data is shared.
Solution: The Posemesh reduces the hazards connected with centralized systems by utilizing blockchain technology to guarantee data integrity and user control.
The Dedication of Auki Labs to Open Innovation
In order to encourage developers and academics to participate in and profit from the Posemesh ecosystem, Auki Labs has adopted an open innovation strategy. Important projects consist of:
1. Posemesh-enabled robot deployment is made easier with the help of the Robot-Compatible Map Extraction Tool, which is available on the GitHub repository.
2. Collaborating with the robotics community to enhance and broaden the Posemesh's capabilities is known as community collaboration.
3. Educational Outreach: Organizing hackathons, webinars, and workshops to motivate the upcoming generation of creative thinkers.
Robotics Collaboration's Future
The Posemesh is a paradigm shift in the way robots interact with the environment and with one another, not just a technical breakthrough. The potential uses of this technology are essentially endless as long as Auki Labs keeps improving it.
A Prospective Perspective
Smooth Integration: The easy collaboration of robots from various manufacturers.
Systems that react quickly to modifications in their surroundings or goals are said to exhibit real-time adaptation.
Improved Human-Machine Collaboration: More intuitive user experiences are produced by machines that comprehend and anticipate human demands.
Changing Sectors and Fostering Innovation
Posemesh from Auki Labs has the potential to transform robotics collaboration by resolving long-standing issues and opening up new avenues for growth across sectors. The Posemesh gives robots a common spatial foundation that facilitates effective collaboration, environment adaptation, and increased scalability.
The future of robotics appears to be more promising than ever as industries embrace this game-changing technology. We are about to reach a time where human-robot-AI collaboration is not only feasible but also smooth and natural, thanks to Auki Labs in the forefront.
My Opinion
As a user of Auki Labs' ground-breaking technology, I find the article Revolutionizing Robotics Collaboration: How Auki Labs’ Posemesh Changes the Game to be tremendously inspiring in terms of its vision and ingenuity. I'm excited to watch this game-changing technology develop since the Posemesh is a huge step forward in solving the important problems of robot collaboration and interoperability.
The Posemesh's capacity to establish a common spatial concept among robotic systems is among its most alluring features. For multi-robot operations, the absence of a common spatial framework has historically led to inefficiencies, redundancies, and restricted scalability. In addition to being incredibly practical, the Posemesh's decentralized, real-time approach to spatial mapping allows robots to collaborate fluidly while lowering computing cost. This is revolutionary, particularly in mixed fleet settings where robots from various manufacturers need to work together.
The wide-ranging industry applicability of this technology is what most fascinates me. The Posemesh can expedite task distribution, avoid bottlenecks, and improve warehouse workflows in logistics. By empowering robots to navigate intricate settings like hospitals without confusion or delay, it has the potential to completely transform patient care in the healthcare industry. It's technology that directly enhances human safety and well-being, so the concept of Posemesh-enabled disaster response robots working together in real time to save lives is especially encouraging.
Auki Labs' dedication to open innovation is perhaps another noteworthy aspect of their strategy. They are encouraging a collaborative atmosphere in the robotics community by making Posemesh an open-source standard. Because of its inclusivity, developers from all over the world can use and contribute to this technology, fostering a thriving environment that encourages innovation. Auki is committed to empowering developers and speeding up real-world usage, as evidenced by tools like the Robot-Compatible Map Extraction.
Furthermore, I really connect with the Posemesh's emphasis on privacy and decentralization. Auki Labs is establishing a benchmark for responsible innovation in a time when centralized systems frequently result in data vulnerabilities and moral dilemmas. They are developing technology that is in line with contemporary ideals of autonomy and transparency by granting consumers control over their location data and reducing the scope of big tech surveillance.
As a user, I view the Posemesh as a template for a cooperative future in which AI, robots, and humans coexist peacefully, rather than merely a technological breakthrough. In addition to changing sectors, Auki Labs' ambition is pushing the limits of what we think robots and intelligent systems are capable of. Being a part of this journey is exciting, and I can't wait to see how the Posemesh develops further and expands the realm of robotics collaboration.
#auki #DePIN #Robotics #ai