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Applying Machine Learning and AI to IoT Data for Robotic Intelligence
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Author(s): Y. Sree Vani (T. John Institute of Technology, India), P. Selvakumar (Department of Science and Humanities, Nehru Institute of Technology, Coimbatore, India), B. Prabhanjan Yadav (Sumathi Reddy Institute of Technology for Women, India), M. Kanipriya (SRM Institute of Science and Technology, India), M. R. Arun (Vel Tech Rangarajan Dr. Sagunthala R&D institute of Science and Technology), Arti Bansal (Chandigarh University, India)and T. C. Manjunath (Rajarajeswari College of Engineering, India)
Copyright: 2026
Pages: 30
Source title:
Robotics and IoT Synergy in Next-Generation Healthcare
Source Author(s)/Editor(s): Safaa Najah Saud Al-Humairi (Management and Science University, Malaysia), Prasitthichai Naronglerdrit (Kasetsart University, Thailand), Nattapon Chantarapanich (Kasetsart University, Thailand)and Sujin Wanchat (Kasetsart University, Thailand)
DOI: 10.4018/979-8-3373-5447-7.ch004
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Abstract
Each of these technologies individually offers transformative potential, but their convergence, process information, and make intelligent decisions. Understanding this convergence requires a detailed exploration of each technology's core principles, capabilities, and evolving roles, followed by an analysis of their synergistic integration that unlocks unprecedented levels of intelligence and autonomy. Artificial Intelligence (AI), on the other hand, encompasses a broad spectrum of computational techniques aimed at replicating or augmenting human cognitive functions not a singular technology but a collection of approaches including that empower machines analyze complex data, identify patterns, and adapt to new situations with minimal human intervention. This capacity allows systems to anticipate equipment failures, optimize energy consumption, customize user experiences, and even detect security threats proactively. Furthermore, AI's ability to process multimodal data — combining visual, auditory, and textual inputs facilitates richer interactions between humans and machines.
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