How Blockchain and Artificial Intelligence Optimize the Operation of Swarm Bots

Artificial intelligence (AI) and blockchain offer endless possibilities.

The combination of blockchain and artificial intelligence has improved the efficiency of swarm robots through the installation of smart protocols to overcome traditional challenges.

Swarm robots in today’s world have revolutionized different applications be it in healthcare, manufacturing, tourism, education and different other fields. Their versatile characteristics make these robots an ideal choice for future applications. The bots have solved several traditional problems but are hampered by various issues such as data security, nameless browsing issues, and communication between swarm bots. To solve all these problems, blockchain and AI have been used to make operations safer, flexible and even more profitable to execute. Emerging technology helps to combine different algorithms and solve the majority of these problems.

No requirement for human advice

Swarm robots are increasingly popular and offer a cost-effective solution for everyday human needs. The majority of robotic activities require some form of human supervision to operate at their peak. But blockchain and AI form a strong knowledge and create a set of algorithms that design complete autonomy for robots. The blockchain stores huge chunks of data that guide robotic swarms to interpret the data and use it in different applications. Nodes in the blockchain network keep track of internal channels and perform their calculations through mechanical and electronic functions.

Consensus protocol

Consensus has been a major problem prevalent among swarm robots. The problem can be divided into discrete or continuous problems. Discrete problems are formalized and require the swarm to accept a set of finite choices. In continuous problems, robots have to agree on infinite choices creating an estimation problem. Reaching or predicting an exact number in this protocol is not possible. With blockchain and AI technology, the data sample size can be reduced to get a rough consensus. Here the robots calculate an average based on its estimate and project it onto its neighboring prodigies.

Advanced Security

An automated blockchain system naturally increases the risk of data security and protection against deception. Blockchains today store up to 250 GB of important information in their centralized storage. A secure data source can enable the swarm of bots to work across multiple channels efficiently. To ensure a consensus-protected algorithm, advanced encryption techniques have been used to protect these systems. The most common encryption techniques are digital cryptographic signatures and secure public key cryptography which forms the structure of a blockchain operation. These smart algorithms ensure that data is shared securely across robotic channels. Highly secure data is assigned with public and private keys to a swarm robot. The public key projects the main information available, while the private key identifies robots or personnel before initiating a line of communication.

Conclusion

Finding the best way to accomplish different tasks using a swarm of robots has been the biggest challenge in the market.

Blockchain and AI with smart contracts, versatile algorithms, game theory and economic mechanisms offer the best solution for assigning work to robotic swarms. The rapid improvement and development of blockchain technology will slowly expand the efficiency and functionality of swarm robots in different applications.