
As we saw in the last bull cycle, AI was the strongest growth narrative across the entire crypto market. From AI, we saw the emergence of multiple sub-sectors such as AI Agents and DePIN, and recently a new sector combining with AI is expected to gain massive traction in the near future, which is Robotics.
Robotics itself is not new, but in recent years it has been significantly elevated thanks to AI. Many people may still remember Lunar New Year 2026, when dozens of Unitree robots gained attention on China’s CCTV by performing Kung Fu, sword dancing, and trampoline acrobatics up to three meters high.

Because this sector is still early, most projects are still building products and have not launched tokens yet, meaning airdrop opportunities remain wide open for everyone.
Key TakeAways:
- Robotics + crypto still early, airdrop window wide open
- Data bottleneck drives demand for decentralized training networks
- Big Tech backing validates long-term, not just hype
- Focus free tasks, optimize farming across early projects
1. What is Robotics?
Robotics is an interdisciplinary field of engineering and science focused on designing, building, operating, and applying robots. It combines mechanics, electronics, automation, and AI to create machines that can perform tasks autonomously or semi-autonomously, from industrial assembly to medical surgery.
Current crypto robotics projects mainly focus on solving a critical bottleneck: robots lack sufficient training data. While AI models can learn from trillions of text tokens and image models can train on billions of images, robots are different. To learn how to grasp objects, navigate environments, and interact with the physical world, they need real-world human-generated data. Humans must physically control robots, record every action, and label the data for robots to learn.

China’s New Year’s robot dance is an application of robotics. This is the biggest bottleneck in AI robotics today: training data is extremely limited. The largest open datasets in the field such as Open X-Embodiment or DROID only contain a few thousand hours of recorded demonstrations. Compared to billions of images or trillions of text tokens used for traditional AI training, this is far too small for robots to truly understand the complexity of the real world.
Crypto robotics projects aim to solve this problem. Instead of relying on expensive engineering teams in research labs, projects like PrismaX reward global users with tokens to perform and record physical tasks, allowing robots to learn at scale.
Because this sector is still very early, most projects are still in development and have not launched tokens yet. In emerging narratives like this, users typically have more opportunities to farm airdrops compared to more established sectors.
2. Why pay attention to Robotics projects?
The Robotics narrative has strong potential to become one of the major crypto narratives for 2025 to 2026, and not just a short-term hype cycle. After the AI boom, Robotics represents the next step, where physical technology intersects with blockchain, opening up a true machine economy. These projects are not just tokenizing ideas, they are building infrastructure for robots to function as independent economic agents.
Blockchain solves three core problems in robotics:
- Data: Robots require massive datasets such as motion, mapping, and edge cases for training. DePIN models allow communities to contribute data at a much lower cost compared to centralized systems.
- Identity and orchestration: Robots need on-chain identity to coordinate trustlessly, share resources, and execute tasks without intermediaries. Protocols like Peaq or OpenMind are building this layer.
- Machine to machine payments: When millions of robots operate 24/7, microtransactions will become essential for buying data, renting compute, and paying for services. Crypto is the only viable solution for instant, low-cost, borderless payments.
What makes this narrative compelling is the involvement of major traditional players acting as catalysts. NVIDIA is building the full robotics stack with Isaac and Omniverse, serving as core infrastructure. Tesla with Optimus, along with startups like Figure AI backed by Microsoft and Amazon, are deploying tens of billions of dollars into humanoid robotics. This proves robotics is a real mega trend, not just a crypto-specific story.

The amount of funding raised for the robotics sector in the traditional market. In this context, crypto acts as the coordination and economic layer, enabling robots to transact, earn, and operate as networks. If AI is the brain and robotics is the body, then crypto is the financial system. In summary, robotics sits at the intersection of AI, DePIN, and crypto, with strong backing from Big Tech. The narrative is still early, but if capital continues to expand, this could become one of the biggest opportunities of the next cycle.
3. Notable Robotics Projects
3.1 Axis Robotics
Axis Robotics is building a browser-based platform for collecting robot data, allowing users to contribute without needing real robots or specialized hardware. Simply accessing the website enables participation in AI training.
In the Little Prince’s Rose experiment lasting five days, the project attracted over 12,000 participants globally and collected 10,000 high-quality robot motion trajectories without requiring specialized hardware. This represents a major breakthrough in crowdsourced data, used to train models and deployed on real Franka robots, providing a clear proof of concept.

Notably, Axis Robotics has actually used this dataset to train models and deploy them on real robots, rather than stopping at whitepaper stage like many other projects.
The project has not announced tokenomics, token, or TGE, and has not confirmed any airdrop. However, users can participate in robot control tasks directly on the website to earn points, potentially qualifying for future airdrops. The simulation-first approach makes it more accessible, especially for users without hardware.

3.2 RoboForce
RoboForce is building a real Robo-Labor force consisting of AI robots handling heavy, dangerous, and repetitive tasks in industrial environments such as energy, data centers, mining, and logistics.
The project develops Physical AI foundation models combined with modular hardware, leveraging NVIDIA stack including Jetson Thor, Isaac Sim, and Cosmos to create a closed-loop data flywheel where robots collect data, train models, and deploy at scale. The goal is to address global labor shortages in dull, dirty, and dangerous industries. Some sources indicate over 11,000 enterprise pre-orders.
In March 2026, the project raised an additional 52 million USD, bringing total funding to 67 million USD, led by YZi Labs with investors including Jerry Yang, Myron Scholes, Gary Rieschel, and Carnegie Mellon University. The team has strong backgrounds from CMU, Amazon Robotics, Google, Waymo, Tesla Robotics, and ABB.

Currently, RoboForce has no token, tokenomics, or TGE, and has not launched points or airdrop programs. However, given strong funding and the Physical AI and DePIN narrative, the market expects potential tokenization in the future, possibly around fleet, data, or robot-as-a-service models.
3.3 BitRobot Network
BitRobot is a platform built on Solana using a subnet architecture, enabling global participation in Embodied AI research and development through crypto incentives. Each subnet operates as an independent task, with some focused on data collection and others on autonomous model training. Users choose a subnet, complete tasks, and earn rewards, effectively decentralizing robot R&D across thousands of contributors instead of a centralized team.

The project has raised around 8 million USD, with seed funding around February 2025, from funds such as Solana Ventures, Big Brain Holding, Fabric Ventures, Zee Prime Capital, Sfermion, and Virtuals Protocol, along with angel investors including Anatoly Yakovenko and Raj Gokal.
Recently, BitRobot launched TeleArms, allowing users to join a private beta waitlist from early 2026 to experience teleoperation for training robotic arms such as LeKiwi and XLeRobot.
The project is still in early network stage, with airdrop potential but no confirmed token or TGE yet.
3.4 PrismaX
PrismaX is a platform that allows users to remotely control robots to perform real-world tasks while collecting visual data for AI training. Instead of companies building expensive in-house operations, they can outsource through PrismaX’s decentralized network and reward users with tokens.
The project raised 11 million USD in a seed round led by a16z CSX, with participation from Volt Capital, Stanford Blockchain Builder Fund, Symbolic, and Virtuals Protocol, with funding around June 2025 and teleoperation app live since mid-2025.

Currently PrismaX has not announced a TGE date, still to be announced, with some speculation around Q3 2025 or later but no confirmation. The project runs Prisma Points through its live app, where users earn points by chatting with AI, daily check-ins, quizzes, or teleoperation tasks such as pick and place. The token is expected to be PIX, used for asset reservation and network services.

Note: Robot control tasks can cost up to 99 USD and require specialized hardware, so they are not suitable for everyone. It is better to prioritize simple and free tasks.
3.5 Konnex
If PrismaX focuses on data collection, Konnex builds an open marketplace where robots can take jobs, execute tasks, and get paid in stablecoins via on-chain contracts. Currently, robot systems are fragmented, with robots from one company unable to work for another. Konnex aims to remove this barrier by creating a unified labor market where all robots can participate and be paid transparently.

In January 2026, the project raised 15 million USD from funds such as Cogitent Ventures, Liquid Capital, Leland Ventures, Covey, M77 Ventures, and Block Maven LLC, with some sources mentioning Pantera Capital and Framework Ventures. CEO Jon Ollwerther stated the goal is to unlock a 25 trillion USD robot economy currently trapped in closed systems.
Konnex has confirmed a token airdrop with ticker KNX, allocating 15 percent of total supply to the community, fully unlocked at TGE. The project uses Konnex Points to determine allocation. TGE is expected around Q2 2026 or later, while mainnet is planned within the next few months without a confirmed date.
Users can earn points through social tasks, daily check-ins, and content creation. The system is points-based, where referrals and activity levels directly impact allocation.
4.Conclusion
Above is a list of robotics projects that allow users to explore airdrop opportunities by completing tasks, including training robot models. A common theme across these projects is leveraging crowdsourced data and crypto incentives to accelerate AI and robotics development. However, not all projects have confirmed tokens or airdrops, so selecting and prioritizing free tasks is important. If you closely follow this narrative, it could become one of the most notable sectors in the next cycle.
Disclaimer: This content does not constitute investment, tax, legal, financial, or accounting advice. MEXC provides this information for educational purposes only. Always do your own research, understand the risks, and invest responsibly
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