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- Robonomics vs IoTeX
Robonomics vs IoTeX
Robonomics vs IoTeX Scalability
Real-time TPS
Robonomics has no data, while IoTeX TPS is 1.4 tx/s
Max TPS (100 blocks)
Robonomics has no data, while IoTeX max TPS is 829.7 tx/s
Max Theoretical TPS
Robonomics has no data, while IoTeX max theoretical TPS is 2,000 tx/s
Transaction Volume
Robonomics has no data, while IoTeX transaction volume is 5,039 txns
Block Time
Robonomics has no data, while IoTeX block time is 2.5s
Finality
Robonomics has no data, while IoTeX finality is 0s
Type
Robonomics has no data, while IoTeX is a layer 1 blockchain
Launch Date
Robonomics has no data, while IoTeX was launched on Apr 22, 2019
Robonomics vs IoTeX Decentralization New
Nakamoto Coefficient
Robonomics has no data, while IoTeX Nakamoto Coefficient is 9
Validators/Miners
Robonomics has no data, while IoTeX has 72 validators
Stake/Hashrate
Robonomics has no data, while IoTeX stake is $123.8M
Consensus Mechanism
Robonomics has no data, while IoTeX is PoS
Governance
Robonomics has no data, while IoTeX governance is on-chain
Other Comparisons
Robonomics Comparisons
About Blockchains
About Robonomics
The creation and development of a platform that provides tools for working with the robot economy network (briefly - the Robonomics platform) will allow designers of new cities and industrial zones to build trust among the autonomous robots services, provide direct user access for ordering products from autonomous factories and services of urban sensor networks. This in turn will allow us to put in place a decentralized system that globally monitors the activities of cyber physical systems.
About IoTeX
IoTeX is a blockchain platform designed specifically for the Internet of Things (IoT) industry. It aims to address the scalability, privacy, and security challenges associated with connecting billions of devices to the internet. IoTeX utilizes a unique architecture that combines blockchain, decentralized identity, and secure hardware to create a trusted and privacy-centric infrastructure for IoT applications. It offers lightweight and efficient consensus mechanisms, support for trusted computing environments, and privacy-preserving techniques such as zero-knowledge proofs.