Revolutionizing Friction Stir Welding With AI-Integrated Humanoid Robots
B. Shamreen Ahamed, Katragadda Sudhir Chakravarthy, Jeswin Arputhabalan, K. Sasirekha, R. Malkiya Rasalin Prince, Sampath Boopathi
- Year
- 2024
- Citations
- 9
Abstract
This chapter explores the use of AI-integrated humanoid robots in friction stir welding (FSW), a crucial process for joining materials without melting. By combining AI capabilities with humanoid robots' dexterity and adaptability, significant advancements can be achieved. AI algorithms can improve precision and accuracy by continuously analyzing real-time sensor data, while AI-powered predictive maintenance can minimize downtime and enhance efficiency. AI-enabled robots in FSW increase automation, reduce human operator reliance, and minimize safety risks in hazardous environments. However, challenges such as cybersecurity concerns, regulatory hurdles, and ethical implications require careful consideration. Future research should focus on developing advanced AI algorithms, optimizing robot-human collaboration, and exploring new applications beyond traditional materials. The approach offers precision, efficiency, and safety, but necessitates interdisciplinary collaboration, strategic investment, and proactive addressing of technological, ethical, and regulatory challenges.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991