
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 2
2025
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Synergizing Intelligence: A Comparative Study of Robotics Components and AI Integration
Author(s) | Amisha Anil Aher, Nandini Satish Kotkar, Ratna Sadashiv Chaudhari |
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Country | India |
Abstract | The integration of Artificial Intelligence (AI) with robotics is changing the way machines perceive, learn, and interact with their surroundings. This paper examines how AI improves robotic capabilities, allowing for autonomous decision-making, precision, and flexibility in a variety of industries including automation, agriculture, healthcare, military, and education. By merging classic robotic components with modern AI techniques such as computer vision, natural language processing and robots are evolving into intelligent agents capable of complicated tasks and human-like interactions. The connection of robotics and AI, as well as its effects on organisational and economic dynamics, are summarised in this article. A comparison of techniques used in robotics is presented, along with an exploration of the relationship between robotics and artificial intelligence, and their impact on economic and organizational dynamics. The study contributes to a better understanding of how AI is applied in robotics and how it could shape the future of technology and society. |
Keywords | Artificial Intelligence, Robotics, Human-Robot interaction, Components of Robots, Application of Artificial Intelligence. |
Field | Computer > Artificial Intelligence / Simulation / Virtual Reality |
Published In | Volume 16, Issue 2, April-June 2025 |
Published On | 2025-04-28 |
Cite This | Synergizing Intelligence: A Comparative Study of Robotics Components and AI Integration - Amisha Anil Aher, Nandini Satish Kotkar, Ratna Sadashiv Chaudhari - IJSAT Volume 16, Issue 2, April-June 2025. DOI 10.71097/IJSAT.v16.i2.4102 |
DOI | https://doi.org/10.71097/IJSAT.v16.i2.4102 |
Short DOI | https://doi.org/g9gx7g |
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