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Next-Generation Industrial Robotics: An Overview
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Author(s): Khalid H. Tantawi (University of Tennessee at Chattanooga, USA), Victoria Martino (University of Tennessee at Chattanooga, USA), Dajiah Platt (University of Tennessee at Chattanooga, USA), Yasmin Musa (Motlow State Community College, USA), Omar Tantawi (Motlow State Community College, USA)and Ahad Nasab (University of Tennessee at Chattanooga, USA)
Copyright: 2023
Pages: 16
Source title:
Applied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
Source Author(s)/Editor(s): Emmanuel Oyekanlu (Drexel University, USA)
DOI: 10.4018/978-1-7998-7852-0.ch004
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Abstract
The Covid-19 pandemic resulted in a disruption across all industries; market data suggests that the demand for industrial robotics has steadily increased despite the pandemic, and possibly due to the impact of the pandemic. Particularly in industries that were not historically robotic markets, such as hospitals and distribution industries. In addition to that, non-traditional markets such as electronics and pharmaceuticals have become the dominant markets for industrial robots, taking over that position that has always been held by the automotive industry. The main challenge that faces increased artificial-intelligence (AI)-based technologies in next-generation collaborative robotics is the need for established preventive and corrective maintenance protocols on the AI-based technologies, as well as the need for established technician training programs on the new technologies and the wide availability of trained technicians. Another challenge that faces deploying mobile collaborative robotics in industry is the lack of safety standards for that technology.
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