5 New Bot Projects Worth Following

Written by: Schizoxbt, Castle Labs

Compilation: Deep Tide TechFlow

This week, we are skipping the market overview update and instead introducing you to a field that we believe will become one of the annual hot topics: robotics.

Introduction

In the early 2000s, a scholar named Ray Kurzweil made an interesting observation. He discovered that the pace of technological advancement was accelerating, and each new invention would yield exponential returns over time. For example, the discovery of fire gave rise to metallurgy, which propelled the development of machines, which in turn facilitated the birth of computers, and computers then drove the development of more advanced chip technology and artificial intelligence, and so on.

The creation of new technologies accelerates along this path and forms a feedback loop that enables humanity to continuously explore new fields. We have acquired better tools, which accelerate the pace of research, and faster research allows us to produce better tools, thereby accelerating the next cycle.

This brings us to where we are today.

In a short period of time, it seems we have already crossed over to a future: artificial intelligence is rapidly advancing, driverless cars have become a reality, cryptocurrencies are widely circulating as internet money, and now, robotics technology is also beginning to emerge.

The robot-driven new era is expected to bring prosperity to the workforce, with humanoid robots capable of performing various general labor tasks. Robots do not need breaks, do not require vacations, and are more cost-effective than humans.

Companies are gradually realizing that they can use a whole warehouse full of robots to accomplish these tasks, and the cost of these robots is much lower than that of human labor. This is a huge breakthrough for businesses.

What position does cryptocurrency occupy in all of this? Cryptocurrency can be integrated with robotics technology through three different levels: the financial layer, the coordination layer, and the infrastructure layer. The next section will delve into the robotics stack and highlight some interesting projects in the crypto x robotics space.

Analysis of the Three Major Aspects of Robotics Technology Stack

Here is how cryptocurrency integrates into the robotics tech stack:

Financial Layer

Cryptocurrency has introduced a new financial track for robots, enabling them to generate income and make payments in a trustless and programmable manner.

Robots can have cryptocurrency wallets, enabling them to receive and send micro-payments that traditional payment methods cannot achieve. This is particularly important in the era of billions of robots interacting autonomously in the future, as blockchain technology can support this level of interaction.

Decentralized Autonomous Organizations (DAOs) can also raise funds through tokenization, partially financing the ownership of robots or teams of robots, opening up new investment/ownership avenues for investors.

Coordinating Layer

The key to efficiently operating a robotic network lies in coordination. It requires the ability to allocate tasks, verify work, align incentives, and so on.

Smart contracts can serve as coordinating logic, where all work assignments, payments, and confirmations can be executed and verified on the blockchain.

The governance mechanism can also be used for fleet upgrades, deployment areas, pricing, etc., completed by voting from token holders or through automatic arbitration.

Infrastructure Layer

Robots need a shared infrastructure to support their operation, including positioning systems, maps, communication networks, identity systems, and computing power. If robots are to play an important role in society, they need maps to navigate a human-designed world, be able to determine their position at any time, and understand how to communicate with or recognize other robots. Cryptocurrency provides an open/decentralized way to achieve these functions, rather than relying on traditional infrastructure such as Google Cloud or AWS.

Robots need a method to accurately locate their position, and Real-Time Kinematic (RTK) technology can provide centimeter-level positioning data through GPS. This data is crucial for autonomous movement and navigation.

To prove identity, each robot can have an encrypted wallet to demonstrate its authenticity, sign telemetry data, or verify work certificates, and establish credibility on the chain.

Now that we have introduced the combination of cryptocurrency and robotics, let's take a look at how these technologies operate in practice, highlighting some noteworthy crypto x robotics projects.

peaq - @peaq

Many people may have heard of peaq, but in the crypto space, it is currently the largest robot-related token by market capitalization, making it hard not to mention them.

peaq, built as the L1 pillar of the machine economy, regards machines, robots, and devices as first-class citizens. This means that any type of machine (including land, air, sea, or space) can build applications for it.

Machines hope to build applications on peaq, as these applications can transform them into autonomous economies, enabling them to earn money, coordinate, and self-upgrade, while developers can access the entire machine economy.

These machines have therefore become native participants on the chain. peaq has already put over 3 million machines on the chain, and this number continues to grow.

In the past few months, peaq has announced the following achievements:

Robotics SDK: Enables developers to more easily put machines on-chain and give robots autonomous identities, allowing them to make payments, receive payments, and verify data.

The first tokenized robot farm: providing vegetables for the local community.

The first robot to obtain autonomous identity.

In addition, peaq provides various plug-and-play modules, allowing teams to avoid rebuilding core infrastructure. This is a key point as it transforms peaq into a Robotics Infrastructure-as-a-Service provider. This is a huge breakthrough for developers, who can skip the infrastructure setup and directly launch products.

As peaq positions itself as the financial, coordination, and identity layer for machines, it has great potential to become a leader in this field.

These layers are a necessary component of the crypto x robot cross-domain, bringing financial economies to all machines, allowing them to scale up with demand without having to build these systems from scratch. If robots develop and grow as predicted, there will be millions of autonomous robots buying, selling, and interacting on a large scale.

Currently, the market capitalization of $PEAQ is approximately $125 million, with a price of around $0.09. As more projects utilize peaq's SDK and leverage its machine economy, peaq is expected to further drive the development of the crypto x robotics field.

Auki - @AukiNetwork

Robots need to be able to interact with and navigate the world created by humans, which involves a significant amount of spatial processing capability. They need to be able to go around corners, cross sidewalks, know when to use crosswalks, and handle many things that we typically do not consider.

Auki has created a technology called posemesh, which they describe as “a decentralized machine perception network and collaborative spatial computing protocol designed to enable digital devices to securely and privately exchange spatial data and computing power, thereby forming a shared understanding of the physical world.”

Ideally, this technology can help transform the physical world into a searchable, browsable, and navigable space, supporting the development of spatial awareness capabilities for robots. Auki is building a decentralized nervous system similar to that of machines.

Through

Through posemesh, devices can request and contribute sensor data, computing power, storage, and a variety of other services. Due to the diverse applications, layers, and datasets that can be contributed, Auki enables different machine profiles to both contribute value to the network and obtain value from the network.

Currently, the market capitalization of $AUKI is approximately 78 million dollars, with a price of about 0.02 dollars. Auki recently mentioned exclusive partnership negotiations with one of China's largest robotics companies, potentially integrating its AR navigation technology into airlines. These are all important catalysts for future growth!

Geodnet - @geodnet_

We mentioned RTK earlier in this report, but let us introduce it in more detail: RTK stands for Real-Time Kinematic (RTK), which is a high-precision technology built on conventional GPS/GNSS. It can achieve centimeter-level positioning accuracy, which is essential infrastructure for robotics, drones, autonomous vehicles, and spatial intelligent networks.

This infrastructure enables these machines to reliably navigate, map, and coordinate in the physical world. Without RTK, their positioning errors can reach several meters, making autonomous movement, precise tasks, and on-chain data verification nearly impossible.

Typically, RTK requires a GNSS (Global Navigation Satellite System) base station and a rover.

The mobile station is a robot or drone that receives GNSS signals, estimates its position, and enhances the estimation accuracy to centimeter level in real-time using correction data provided by nearby base stations.

Geodnet is a decentralized RTK network that incentivizes base station operators through its native token. It is hailed as the largest RTK correction service provider and has even garnered significant attention in mainstream GNSS circles.

Currently, the market capitalization of $GEOD is approximately 42 million USD, with a price of about 0.13 USD. A few days ago, they released pre-order information for handheld GNSS RTK receivers, which could become a catalyst for its development.

CodecFlow - @codecopenflow

CodecFlow is a Solana-based project aimed at becoming the execution layer for robots and AI agents. Essentially, their goal is to give AI agents a sense of presence and the ability to act, rather than just think or communicate. This will open up many possibilities, as currently AI agents do not have the capability to execute physical tasks at scale in the real world.

To achieve this goal, CodecFlow uses the Vision-Language-Action (VLA) model.

These models allow agents to:

Capture environmental information through the camera or screen.

Using AI models to understand dynamics in the environment;

Take action through software or physical models.

The technology stack of CodecFlow consists of two core parts: Fabric and Operator Kit (OPTR).

Fabric: Similar to a smart router for computing power, serving as a unified orchestration layer, it can intelligently schedule workloads between cloud service providers and route workloads to the cheapest GPU or computing resources. This allows developers to allocate tasks of robotic agents to the least expensive cloud services without being locked into costly options.

Operator Kit: A developer toolkit for programming these agents in practice. This enables developers to create agents that can perceive, make decisions, and act reliably, standardizing workflows and enhancing the robustness and scalability of the agents.

Currently, the market capitalization of $CODEC is approximately 13 million USD, with a price of about 0.018 USD. With the release of the Operator Toolkit in August and the integration with peaq's MachineDex, CodecFlow has further enhanced its position in the narrative of the robotics field.

Silencio - @silencionetwork

Sound is a type of sense that can provide a wealth of environmental information, such as the sound of car horns, sirens, and even a baby's cry.

For humans, understanding the sounds in daily life requires years of learning and accumulation, and it is not easy to equip robots with this ability. For example, automated delivery robots need to be able to recognize sound cues such as emergency sirens.

Silencio is building this auditory layer, allowing anyone with a phone or sensor to become a node in its network. If enough sound data can be collected, these robots will gain the necessary environmental perception capabilities as well as audio recognition capabilities.

Silencio has covered over 180 countries, with daily active nodes, accumulating more than 1300 years of voice data, and has over 1 million contributors uploading data to the network.

Currently, the market capitalization of $SLC is approximately 6 million USD, with a price of about 0.0002 USD. In the keynote speech in September, Silencio showcased the importance of sound data for the future of robots. If they can continue to expand this competitive barrier, there is significant potential for future development.

Is it an end or a beginning?

Although this may be the end of this report, the era of robots is far from over, and it is certainly not the end of the crypto x robot sector. This is still an emerging field, and over time, the world will continue to move towards these industries.

Currently, the market value of robotics-related stocks is about $112 billion, while the market value of the crypto x robotics sector is approximately $404 million. This indicates that we have ample growth potential in this area.

There are many projects to discuss regarding robotics technology and its potential, as well as many ways to explain it. This is a broad topic that is rapidly expanding every day, and as Kurzweil points out, it is likely to grow exponentially as we move into the future.

Soon, we may get used to having humanoid robots at home to help with daily chores, just as we have already gotten used to seeing self-driving cars on the roads.

The future will only become more wonderful.

As the industry is constantly evolving, this article does not provide a complete summary of the sector. If we have missed any items or you have information about other projects that deserve our attention, please let us know.