Revolutionary Changes in the Bots Industry: The Integration of AI and Encryption Technology

The emergence of ChatGPT has completely changed people's perception of artificial intelligence. However, a real breakthrough may soon occur in the Bots field. This article will explore how the latest advancements in artificial intelligence are reshaping the landscape of the Bots industry, and how improvements in battery technology, latency optimization, and data collection will shape the future. At the same time, we will also focus on the important role that encryption technology plays in this process.

Key Elements of Transformation

Breakthrough advancements in artificial intelligence

The development of multimodal large language models provides the necessary "brain" for Bots to perform complex tasks. 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 Helix model launched by Figure AI is a typical example, setting a new standard for the industry through zero-shot generalization capabilities and a dual-system architecture.

Economic Bots Become Reality

The technologies that change the world are often accessible. When the price of Bots falls within an acceptable range for ordinary households, we can envision a world where physical labor and daily tasks are mainly performed by Bots.

Expansion from warehousing to consumer market

Robotics technology is expanding from warehouse solutions to the consumer sector. Robotics companies are no longer limited to manufacturing factory-specific robots, but are beginning to develop more versatile humanoid robots. Cost remains the main bottleneck for scalability, but robots are moving towards being cheaper, more efficient, and more versatile.

The Next Breakthrough in Bots Technology

battery optimization

Battery technology has always been a bottleneck for user-friendly Bots. Autonomous charging and docking infrastructure have become key development directions, including two main modes: battery swapping and inductive charging.

latency optimization

Low-latency operations are crucial for Bots, encompassing both environmental perception and remote control. A perception latency of under 50 milliseconds is considered the ideal standard, which requires 90% of decisions to be made locally through a single VLA network.

Data Collection Optimization

There are mainly three ways to collect data: real-world video data, synthetic data, and remote control data. Remote control is considered the most promising data collection method, but labor costs are the main constraint.

Key Exploration Areas

encryption technology and Bots integration

Encryption technology can enhance the efficiency of bot networks in three areas: interfacing infrastructure, latency optimization, and data collection. Decentralized Physical Infrastructure Networks (DePIN) are expected to revolutionize charging infrastructure and optimize remote control latency.

security issues

Bots security is a key prerequisite for social acceptance. Economic security mechanisms, such as decentralized machine coordination layers and third-party re-staking networks, can provide equal security guarantees.

Filling the Gaps in the Bots Technology Stack

To achieve the widespread adoption of Bots, the development threshold needs to be lowered to a level of convenience similar to that of AI application development. There is room for improvement in the following three areas:

1. Financing mechanism: The high cost of developing Bots is a major barrier.
2. Evaluation System: It is necessary to have an evaluation facility for testing autonomous strategies in diverse real-world environments.
3. Educational Ecology: A structured and inclusive education system is crucial for the talent supply in the Bots field.

Future Outlook

The innovation of the VLA model and the economies of scale are driving the birth of cost-effective, efficient, and versatile humanoid Robots. As warehouse Robots expand into the consumer market, safety, financing models, and evaluation systems have become key exploration directions. Encryption technology will promote the development of Robots by providing economic guarantees for safety, optimizing charging infrastructure, improving latency performance, and enhancing data collection pipelines.