What happens when robotics, AI, and blockchain converge? We’re excited to share OpenMind’s latest industry primer, a comprehensive exploration of robotics, AI, and blockchain synergy. Packed with insights into:
- Why Robotics, AI, and Blockchain?
- Key applications
- Major trends and blueprints
Kudos to the key contributors and reviewers who helped bring this primer to life. (1/7)
2/ According to @Forbes, the global robotics market will reach approximately $73.01 billion by 2030, up from $46.11 billion in 2024. Here’re some use cases of autonomous robots in different verticals.
3/ However, we have identified some key challenges for widespread robotic adoption:
- Limited observability in end-to-end models
- Data limitation and constraints in VLAM training
- Autonomy and reasoning challenges
- Limited real life interaction feedback
- Inter-robot communication/coordination challenges
- High costs with development, deployment and scalability
And here’s how we think AI and blockchain together can help.
4/ AI enhances intelligence and adaptability, empowering robotics to become smarter, more efficient, and highly reliable.
5/ Crypto enables coordination, transparency, and native incentives, empowering robotics systems to collaborate effectively and expand their capabilities efficiently.
6/ The future is inevitable: inside the primer, you will find major trends to watch from key players across robotics, AI and crypto, including:
But all the hype thus far has been concentrated in the digital world—auditing, trading DeFi, KOL agents—who's building AI agents for robots?
Meet OM1.
There has never been a way to easily deploy AI agents in the real world because existing systems are rigid, opaque, and difficult to scale.
That's why we're creating an AI architecture that makes developing smart robots easy and efficient.
We're open-sourcing OM1, an operating system for building physical and digital embodied AI agents with modular capabilities like movement, speech and perception.
OM1 make it super easy for developers to design, test, and validate multi-agent systems across hybrid environments.