Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 5 (2025): Volume 9, Issue 5, May 2025 | Pages: 434-441
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 31-05-2025
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) have significantly transformed the field of advanced robotics, making robots more intelligent, efficient, and adaptable to complex tasks and environments. These technologies enable key capabilities such as autonomous navigation, object recognition and manipulation, natural language processing, and predictive maintenance. AI, ML, and DL are also instrumental in developing collaborative robots (cobots) that can work alongside humans and adjust to dynamic environments and tasks.
Beyond robotics, these technologies play a vital role in enhancing transportation systems by improving safety, efficiency, and passenger convenience. In manufacturing, they enable assembly robots to operate with greater precision, safety, and intelligence. Additionally, AI-driven advancements in aviation management help optimize operations, reduce costs, and enhance customer satisfaction. In the taxi industry, these technologies contribute to safer, more efficient, and customer-friendly services.
This research provides an overview of the current developments and diverse applications of AI, ML, and DL in advanced robotics, highlighting their impact across multiple sectors. It also identifies areas for further study to bridge the gaps in existing research, aiming to improve robotic performance and drive productivity in the robotics industry.
Artificial intelligence, Machine learning, Deep learning, Advanced robotics
Manoj Kumar K M. (2025). A Review of Artificial Intelligence, Machine Learning, and Deep Learning in Advanced Robotics. International Research Journal of Innovations in Engineering and Technology - IRJIET, 9(5), 434-441. Article DOI https://doi.org/10.47001/IRJIET/2025.905048
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