A New Chapter in Robotics: The Automation Revolution Driven by AI and Encryption

In recent years, breakthroughs in the field of artificial intelligence are profoundly changing the landscape of the Bots industry. The development of multimodal large language models provides the "brain" necessary for Bots to perform complex tasks. In particular, the emergence of the vision-language-action ( VLA ) model enables Bots to integrate visual perception, language understanding, and physical actions within a unified computational framework.

The birth of economic Bots is becoming a reality. When the price of Bots falls within the range that an average household can afford, we can imagine a future where physical labor and daily tasks are primarily completed by Bots. Robotics technology is expanding from warehousing solutions to the consumer sector, and developing more versatile humanoid Bots is becoming a new trend.

However, to achieve the widespread application of Bots technology, breakthroughs are still needed in multiple areas. Optimization of battery technology is one of the keys, with autonomous charging and docking infrastructure becoming key development directions. Low-latency operations are crucial for the environmental perception and remote control of Bots, with a perception latency of less than 50 milliseconds considered the ideal standard. In terms of data collection, remote control is viewed as the most promising method, but labor costs remain the main limiting factor.

The application prospects of encryption technology in the field of Bots are broad. The decentralized physical infrastructure network ( DePIN ) is expected to revolutionize charging infrastructure and optimize remote control latency. Encryption tokens can also incentivize third parties to provide remote control data, addressing the issue of high data collection costs.

Safety has always been a core concern in the development of Bots technology. Economic safety mechanisms, such as decentralized machine coordination layers and third-party re-staking networks, are exploring solutions that provide reliable guarantees for Bots behavior. These mechanisms aim to establish accountability and trust systems to ensure that Bots comply with safety standards and regulations.

To promote the popularization of Bots technology, improvements are needed in areas such as financing mechanisms, evaluation systems, and educational ecosystems. Lowering the development threshold, establishing evaluation infrastructure for real-world scenarios, and providing a structured inclusive education system are all important directions for future development.

As these technologies and infrastructures mature, humanoid robots are expected to replicate the explosive growth of the Web2 era. The abundance of open-source projects and educational resources will provide new opportunities for the next generation of talent to enter the field of Bots, accelerating the arrival of the robot revolution.

In the future, with the innovation of the VLA model and the emergence of economies of scale, we will see more affordable, efficient, and versatile humanoid Bots coming to market. Encryption technology will play an important role in promoting the development of the Bots industry by providing security assurances, optimizing infrastructure, and improving data collection processes.