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Intelligent Resource Allocation and Optimization for Industrial Robotics Using AI and Blockchain
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Author(s): Tarun Kumar Vashishth (IIMT University, India), Vikas Sharma (IIMT University, India), Kewal Krishan Sharma (IIMT University, India), Bhupendra Kumar (IIMT University, India), Sachin Chaudhary (IIMT University, India)and Rajneesh Panwar (IIMT University, India)
Copyright: 2024
Pages: 29
Source title:
AI and Blockchain Applications in Industrial Robotics
Source Author(s)/Editor(s): Rajashekhar C. Biradar (Reva University, India), Geetha D. (Reva University, India), Nikhath Tabassum (Reva University, India), Nayana Hegde (Reva University, India)and Mihai Lazarescu (Politecnico di Torino, Italy)
DOI: 10.4018/979-8-3693-0659-8.ch004
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Abstract
This chapter focuses on the application of intelligent resource allocation and optimization techniques for industrial robotics systems using the synergistic integration of artificial intelligence (AI) and blockchain technologies. Efficient resource allocation is crucial for maximizing the performance and productivity of industrial robotics, and AI-based approaches offer the ability to dynamically allocate resources based on real-time data and system requirements. Additionally, blockchain technology provides a decentralized and secure platform for recording and verifying resource allocation transactions, ensuring transparency and trust in the allocation process. The chapter explores various AI algorithms and models that can be employed for resource allocation and optimization in industrial robotics, including machine learning, evolutionary algorithms, and reinforcement learning. Furthermore, the chapter investigates how blockchain technology can enhance resource allocation and optimization by providing a distributed ledger for recording and verifying resource transactions.
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