Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges

Year : 2025 | Volume : 12 | Issue : 02 | Page : 31 43
    By

    Ajish M. Thomas,

  1. Assistant Professor, Department of Computer Science, Musaliar College of Arts and Science, Pathanmthitta, Kerala, India

Abstract

The incorporation of artificial intelligence (AI) into robotics has transformed the industry by greatly improving robots’ capacity to carry out complex and autonomous functions in a wide range of sectors. This paper explores the evolution, applications, and challenges associated with AI-driven robotics. It examines key AI methodologies employed in robotics, including machine learning, natural language processing (NLP), computer vision, and planning/control algorithms, which enable robots to perceive, learn, and interact with their environment more effectively. AI-powered robotics has found applications in diverse sectors, including industrial automation, where robotic systems optimize manufacturing and logistics; autonomous vehicles, which rely on AI for navigation and decision-making; and service robots, which assist in healthcare, hospitality, and domestic tasks. Additionally, AI-driven robots are transforming space exploration by conducting remote scientific missions and are revolutionizing precision agriculture through automated monitoring and harvesting systems. Although significant progress has been made, robotics powered by AI still encounters numerous obstacles. Safety remains a critical concern, particularly in human-robot collaboration and autonomous decision-making. Ethical concerns, including algorithmic bias and the potential loss of jobs, require thoughtful evaluation and attention. Data limitations hinder AI model training, while ensuring effective human-robot interaction requires advancements in interpretability and adaptability. Explainability is another pressing issue, as AI-driven decisions in robotics must be transparent to gain trust in critical applications. This paper also highlights current trends in AI-driven robotics, including advancements in reinforcement learning, neuromorphic computing, and swarm robotics. By addressing existing limitations and proposing future research directions, this study contributes to a deeper understanding of AI’s role in robotics and its potential to shape the future of automation. Through continuous innovation and ethical considerations, AI-driven robotics is poised to redefine industries, improve quality of life, and expand the frontiers of technology.

Keywords: Artificial intelligence, robotics, machine learning, computer vision, natural language processing

[This article belongs to Journal of Advancements in Robotics ]

How to cite this article:
Ajish M. Thomas. Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges. Journal of Advancements in Robotics. 2025; 12(02):31-43.
How to cite this URL:
Ajish M. Thomas. Artificial Intelligence in Robotics: Current Trends, Applications, and Future Challenges. Journal of Advancements in Robotics. 2025; 12(02):31-43. Available from: https://journals.stmjournals.com/joarb/article=2025/view=212309


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Regular Issue Subscription Original Research
Volume 12
Issue 02
Received 07/02/2025
Accepted 03/05/2025
Published 17/05/2025
Publication Time 99 Days
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