A Review of Quantum Artificial Intelligence-Based Schemes for High-Speed Manipulation of Delta Robots

A Review of Quantum Artificial Intelligence-Based Schemes for High-Speed Manipulation of Delta Robots

Nisha (Woxsen University, India), Vishal Kumar Sharma (Woxsen University, India), Sandeep Saharan (Bennett University, India), Shyam Krishan Joshi (Woxsen University, India), and Niyaz Ahmad Wani (Thapar Institute of Engineering and Technology, India)
Copyright: © 2025 |Pages: 34
DOI: 10.4018/979-8-3693-7673-7.ch016
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Abstract

Delta robots, known for their high-speed precision in industrial applications, have seen significant advancements with the integration of AI and Quantum Artificial Intelligence (QAI). These intelligent systems improve decision-making, optimize movement trajectories, and enhance speed and accuracy in dynamic environments. This chapter reviews AI and QAI schemes for high-speed manipulation of Delta robots. AI models like machine learning have shown improvements in controlling complex systems, while QAI, leveraging quantum computing, offers even greater computational efficiency and faster problem-solving, ideal for real-time manipulation. By examining both paradigms, this chapter highlights their contributions to boosting Delta robots' performance, particularly in high-speed tasks where precision is key. The potential of QAI to tackle challenges faced by classical AI positions Delta robots at the forefront of quantum-enhanced automation.
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