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Artificial Intelligence in Robotics

Artificial Intelligence in Robotics

Preethiya T. (SRM Institute of Science and Technology, India), Priyanga Subbiah (SRM Institute of Science and Technology, India), Pandiarajan T. (Rajalakshmi Institute of Technology, India), Stephen Ojo (College of Engineering, Anderson University, USA), and Vijayalakshmi S. (SNS College of Engineering, India)
Copyright: © 2024 |Pages: 14
DOI: 10.4018/979-8-3693-1962-8.ch009
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Abstract

The advent of artificial intelligence (AI) has had a profound impact on the realm of robotics, fundamentally altering the capabilities of self-governing devices. This abstract examines the significant influence of artificial intelligence (AI) on the field of robotics, emphasizing notable progress and practical implementations. Artificial intelligence (AI)-powered robots demonstrate improved capabilities in perception, decision-making, and adaptability, which allows them to thrive in a wide range of jobs across several domains such as industry, healthcare, space exploration, and autonomous vehicles. Machine learning methodologies, such as deep learning and reinforcement learning, enable robots to acquire aptitudes, enhance their performance, and engage in intelligent interactions with their surroundings. The ethical considerations, safety measures, and societal repercussions pertaining to AI-driven robots are also examined and analyzed.
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The Role Of Nlp In Human-Robot Communication

The field of human-robot interaction has witnessed the emergence of Natural Language Processing (NLP) as a crucial technology. NLP facilitates the ability of computers to understand, produce, and react to human language in a manner that is more intuitive and akin to human behaviour. The advent of this transformative invention has inaugurated a novel epoch of communication between human beings and robots, which exhibits considerable potential for many applications across several industries and in our everyday existence.

This investigation examines the significance of natural language processing (NLP) in facilitating communication between people and robots, highlighting its tremendous influence on bridging this gap (Jonathan, 2023). This study aims to investigate the fundamental technologies, strategies, and algorithms that enable robots to comprehend and produce human language. Natural Language Processing (NLP) is of utmost importance in facilitating smooth communication between humans and various machines, including chatbots, virtual assistants, service robots, and autonomous cars.

Moreover, this discourse underscores the practical implementations of Natural Language Processing (NLP) within the field of robotics, placing particular emphasis on its ability to augment human-robot cooperation, improve customer service, better healthcare practises, and facilitate educational endeavours, among various other domains. This study also addresses the emerging difficulties and ethical implications related to natural language processing (NLP) in the context of human-robot communication, as we explore the dynamic intersection of technology and human contact.

The incorporation of natural language processing (NLP) into the realm of human-robot communication is fundamentally transforming the manner in which we engage with and derive advantages from robotic systems. AI has the capacity to enhance our interactions with machines by making them more intuitive, efficient, and engaging (Nam et al., 2021). This has the potential to create a future in which robots possess a genuine understanding of human behaviour and can respond to us in a manner that is both natural and reminiscent of human-to-human communication.

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