Digital Transformation Across Generations DOI
Shalom Akhai, Mahapara Abbass,

Preeti Kaur

et al.

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 40

Published: Nov. 29, 2024

The integration of robotics and artificial intelligence (AI) is transforming industries, enhancing efficiency, safety, productivity. This chapter explores the impact autonomous systems across various sectors, including manufacturing, healthcare, transportation, agriculture. convergence AI enables adaptive to perform complex tasks independently, driving innovation reshaping business operations. Machine learning, computer vision, sensor fusion empower robots learn from data, recognize patterns, interact with humans. Successful applications include self-driving cars, robotic-assisted surgery, precision farming, smart home devices. However, challenges persist, such as reliability, ethics, data privacy, complexity implementation. As continue evolve, they will drive sustainable practices, optimize resource use, encourage interdisciplinary collaboration. Future research should focus on developing robust algorithms, safety protocols, establishing ethical guidelines.

Language: Английский

Digital Transformation Across Generations DOI
Shalom Akhai, Mahapara Abbass,

Preeti Kaur

et al.

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 23 - 40

Published: Nov. 29, 2024

The integration of robotics and artificial intelligence (AI) is transforming industries, enhancing efficiency, safety, productivity. This chapter explores the impact autonomous systems across various sectors, including manufacturing, healthcare, transportation, agriculture. convergence AI enables adaptive to perform complex tasks independently, driving innovation reshaping business operations. Machine learning, computer vision, sensor fusion empower robots learn from data, recognize patterns, interact with humans. Successful applications include self-driving cars, robotic-assisted surgery, precision farming, smart home devices. However, challenges persist, such as reliability, ethics, data privacy, complexity implementation. As continue evolve, they will drive sustainable practices, optimize resource use, encourage interdisciplinary collaboration. Future research should focus on developing robust algorithms, safety protocols, establishing ethical guidelines.

Language: Английский

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