World ID, a digital proof-of-human system developed by World, has been integrated with peaqOS, allowing autonomous robots and machines to verify that they are interacting with a real human without receiving the person’s name, face or other identifying information.
Launched via robotic.sh, the integration uses World ID’s zero-knowledge proof technology, allowing people to prove their humanity through World App while keeping their underlying identity private. Machines running peaqOS can perform the verification natively without requiring an API key or a per-verification fee.
The development comes as autonomous machines increasingly interact directly with people. Delivery robots, shared machines, and other systems may need to confirm that a user is a real person or has authorization to complete an interaction without collecting or storing personal information.
Traditional verification can rely on PINs, pickup codes, accounts or identity documents. Instead, the autonomous machine receives a proof that the required verification has taken place. This reduces the need to share unnecessary information.
How the Integration Works for Autonomous Machines
peaqOS acts as the coordination layer between the machine and World ID. Machines can use peaq decentralized identifiers for their own identity, discover the verification service through the Machine Market and coordinate the process from the initial request through the verification result.
The integration can also provide a verifiable record that a verification occurred while keeping proof metadata redacted. This allows operators to confirm that a check took place without requiring the machine to collect the user’s identity.
One example is autonomous medication delivery. A patient can verify through World App before an order is accepted, while the delivery robot receives a zero-knowledge proof instead of the patient’s personal information. A pharmacist can verify before loading the medication, and the patient can verify again when the robot arrives, allowing the system to confirm that the recipient matches the human associated with the order before opening the compartment.
Beyond deliveries, the system can also support one-per-human use cases, such as promotional giveaways, as well as shared machines where operators want to confirm that users are unique humans without requiring them to create accounts or provide personal details.
