Abstract: Systems and methods of the present disclosure leverage distributed ledger technology (DLT) to provide decentralized control of cooperative tasks performed by a plurality of robots. Characteristics of the plurality of robots may be stored in a distribute ledger, which may be provided by a blockchain or a distributed database system. When a service request is received, a set of tasks may be identified for providing the requested service and the robot characteristics recorded to the distributed ledger may be used to identify a list of candidate robots possessing characteristics corresponding to the set of tasks may be identified. A smart contract may be utilized to select one or more candidate robots for performing the task and to verify the selected robot(s) successfully completed the task. State information associated with operation of the selected robot(s) may be monitored to verify task completion.

Abstract: In some examples, distributed ledger technology and artificial intelligence-based energy trading may include ascertaining energy data that includes historical weather data for a plurality of units, future climate forecast data, household behavioral energy data, and distributed ledger technology energy marketplace data. Based on a specified time interval, a specified future time duration may be divided to generate a plurality of specified divided future time durations to determine a price of energy. A trading recommendation may be generated for a time during the specified future time duration to buy the energy from a distributed ledger technology energy marketplace, and/or another time during the specified future time duration to sell the energy to the distributed ledger technology energy marketplace. Further, instructions to implement the recommendation may be generated to buy the energy and/or sell the energy.

Abstract: Systems and methods for membership-based cryptologic blockchain interoperability are provided. A receiver distributed ledger technology (DLT) network may include a data receiver node and a receiver validator node. The receiver validator node may receive a certification of token data stored on a furnisher blockchain. The certification may be signed by a plurality of furnisher validator nodes of a furnisher DLT network. To validate the certification, the receiver validator may obtain a furnisher credentials stored on a membership blockchain. The receiver validator node may perform the validation based on the furnisher credentials. The receiver validator node may digitally sign a validation of the certification. The receiver node of the receiver DLT network may commit the token data to a receiver blockchain in response to validation of the certification.

Abstract: Systems and methods of the present disclosure leverage distributed ledger technology (DLT) to provide decentralized control of cooperative tasks performed by a plurality of robots. Characteristics of the plurality of robots may be stored in a distribute ledger, which may be provided by a blockchain or a distributed database system. When a service request is received, a set of tasks may be identified for providing the requested service and the robot characteristics recorded to the distributed ledger may be used to identify a list of candidate robots possessing characteristics corresponding to the set of tasks may be identified. A smart contract may be utilized to select one or more candidate robots for performing the task and to verify the selected robot(s) successfully completed the task. State information associated with operation of the selected robot(s) may be monitored to verify task completion.

Abstract: In some implementations, a system may generate information that identifies a passphrase to be used as a biometric input. The system may receive a voice input of a user speaking the passphrase. The system may generate one or more cryptographic keys based on the voice input. The system may generate a digital identifier based on the one or more cryptographic keys. The system may generate one or more biometric templates for the user. The system may encrypt the one or more biometric templates using the one or more cryptographic keys and to generate one or more encrypted biometric templates. The system may store in a secure storage associated with the user, at least one of the digital identifier, a public key of the one or more cryptographic keys, a phone number associated with the user, or the one or more encrypted biometric templates. Numerous other aspects are provided.

Abstract: Systems and methods for membership-based cryptologic blockchain interoperability are provided. A receiver distributed ledger technology (DLT) network may include a data receiver node and a receiver validator node. The receiver validator node may receive a certification of token data stored on a furnisher blockchain. The certification may be signed by a plurality of furnisher validator nodes of a furnisher DLT network. To validate the certification, the receiver validator may obtain a furnisher credentials stored on a membership blockchain. The receiver validator node may perform the validation based on the furnisher credentials. The receiver validator node may digitally sign a validation of the certification. The receiver node of the receiver DLT network may commit the token data to a receiver blockchain in response to validation of the certification.

Abstract: A transaction platform may provide access, to a distributed shared data structure, to a user device and a service provider device. The transaction platform may store, in the distributed shared data structure, user information associated with a user and service information associated with a service provider. The transaction platform may process a transaction between the user and the service provider by using a first set of processing nodes to generate a first transaction result and a second set of processing nodes is to generate a second transaction result. The transaction platform may determine whether the first transaction result and the second transaction result are the same, and may store, based on determining that the first transaction result and the second transaction result match, a smart contract, associated with the transaction, in a distributed ledger.

Abstract: A system may provide blockchain-based storage node control for unified proof-of-storage interaction for off-chain data chunk storage. The system may include verification circuitry that may provide a challenge to a storage node to audit the storage status of a data chunk. The verification circuitry may obtain identities for the storage node and data chunk based on blockchain records. The verification circuitry may obtain a challenge answer from the storage node in response. The verification circuitry may analyze the challenge answer in view of a challenge key to confirm whether the storage node has possession of the data chunk. When the storage node has possession of the data chunk chain circuitry may add a verification record to the blockchain.

Abstract: A transaction platform may provide access, to a distributed shared data structure, to a user device and a service provider device. The transaction platform may store, in the distributed shared data structure, user information associated with a user and service information associated with a service provider. The transaction platform may process a transaction between the user and the service provider by using a first set of processing nodes to generate a first transaction result and a second set of processing nodes is to generate a second transaction result. The transaction platform may determine whether the first transaction result and the second transaction result are the same, and may store, based on determining that the first transaction result and the second transaction result match, a smart contract, associated with the transaction, in a distributed ledger.