Yesterday, I discussed an interesting idea with a few friends from the community—can we use zero-knowledge proofs to upgrade robot auditing?

Traditional auditing logic relies on reviewing operation logs, but here's the problem: you have to dig into everything the robot has done. This approach becomes awkward in autonomous systems.

But what if we change our perspective? Have the robot only prove "I completed the task" without revealing exactly how it was done. That’s the core value of zero-knowledge proofs—verifying the result, not peeking into the process.

This approach addresses two pain points at once: first, autonomous robots are most afraid of privacy leaks; once their strategy details are exposed, they lose competitiveness. Second, in large-scale network environments, if every node has to process massive operation logs, execution flows will be bogged down by information noise.

With the right technical direction, implementation efficiency can keep up.