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AI encryption dual engine: Promote the large-scale popularization of economic Bots.
AI and encryption technology drive the Bots revolution
Artificial intelligence and robotics technology are experiencing revolutionary breakthroughs. The innovative visual-language-action model ( VLA ) provides robots with the "brain" to perform complex tasks. The Helix model launched by Figure AI sets a new benchmark for general-purpose humanoid robots with its zero-shot generalization ability and dual-system architecture.
The emergence of economic Bots makes it hopeful for widespread adoption. When the price of Bots falls below that of ordinary cars, the imagined world where physical labor is primarily completed by Bots is no longer far away. Bot technology is expanding from warehousing to the consumer sector, developing more versatile humanoid Bots.
To achieve widespread adoption, the overall cost of Bots needs to be controlled at around 35 dollars per hour. Currently, Bots are developing towards a cheaper, more efficient, and versatile direction. Battery technology, latency optimization, and data collection improvements are key to future breakthroughs.
Autonomous charging and docking infrastructure are key aspects of battery technology. Perception systems and remote control require low latency of less than 50 milliseconds. Data collection is primarily conducted through three channels: real-world video, synthetic data, and remote control.
Encryption technology is expected to improve efficiency in charging infrastructure, latency optimization, and data collection. The decentralized physical infrastructure network ( DePIN ) can revolutionize charging facilities and optimize remote control latency. The encryption token incentive mechanism can reduce the costs of remote control data collection.
Safety is always a core concern of Bots technology. Economic security guarantee mechanisms and behavioral constraint systems are being constructed. A third-party re-staking network can provide counterpart guarantees for Bots safety.
The financing mechanisms, evaluation systems, and educational ecosystem in the field of Bots still have room for improvement. Open-source projects are committed to lowering development barriers and building an open platform similar to a "Bots version of the Android system." A structured inclusive education system is crucial for cultivating talent in Bots.
In the coming years, with the innovation of VLA models and economies of scale, affordable, efficient, and versatile humanoid Bots are expected to be widely applied. Encryption technology will play an important role in security guarantees, infrastructure optimization, and other aspects, driving the technology of robots into a new era.