AI and encryption technology drive transformation in the Bots industry

In recent years, breakthrough advancements in the field of artificial intelligence are bringing significant changes to robotics technology. The development of multimodal large language models provides robots with the "brain" necessary to perform complex tasks. The emergence of the visual-language-action ( VLA ) model allows robots to integrate visual perception, language understanding, and physical action within a unified computational framework. This technological breakthrough lays the foundation for the commercial application of general-purpose humanoid robots.

At the same time, the cost of Bots is continuously decreasing. When the price of humanoid Bots is lower than that of ordinary cars, we can imagine a future where physical labor and daily tasks will primarily be carried out by Bots. Robot technology is also expanding from specialized fields such as warehousing to the consumer market, which requires Bots to possess greater versatility.

To achieve large-scale applications of Bots technology, breakthroughs are still needed in several key areas. Optimizing battery technology is a focus, including the development of autonomous charging and docking infrastructure. Delay optimization is crucial for the real-time response of Bots, with a perception delay of less than 50 milliseconds being a key threshold for achieving agile movements. Improvements in data collection will also drive advancements in Bots technology, and remote control is a highly potential method of data collection.

Encryption technology is expected to play an important role in the field of Bots. The decentralized physical infrastructure network (DePIN) can revolutionize charging infrastructure, optimize remote control latency, and provide incentive mechanisms for data collection. Security has always been a core concern in the development of robotic technology, and encryption technology can enhance the security of the Bots network through economic security mechanisms and behavioral constraints.

To promote the popularization of Bots technology, we also need to improve the financing mechanism, evaluation system, and educational ecosystem. Lowering the threshold for Bots development, establishing evaluation infrastructure for real-world scenarios, and building a structured inclusive education system will all help to attract more talent into this field.

With the maturity of these technologies and infrastructure, humanoid robots are expected to achieve explosive growth in the coming years. Encryption technology will play a key role in providing economic assurances, optimizing infrastructure, and improving data collection, driving the rapid development of the robotics industry.