Hybrid Conferencee

International Conference on AI Robotics Software for Industrial Applications (ICARSIA - 26)

10th - 11th October 2026 | Dublin, Ireland
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Dublin. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Dublin event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Dublin conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dublin, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Dublin."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICARSIA aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Robotics,Software Engineering, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
AI applications in industrial robotics
02
Software frameworks for industrial automation
03
Real-time data processing in robotics
04
Robustness of AI algorithms in industry
05
Human-robot collaboration in factories
06
AI-driven predictive maintenance strategies
07
Integration of AI with legacy systems
08
Safety protocols for industrial robots
09
Scalability of AI robotics solutions
10
Machine learning for industrial applications
11
AI-enhanced robotic process automation
12
Industrial IoT and robotics integration
13
Data analytics for industrial robotics
14
Energy efficiency in robotic systems
15
Customization of AI software for industries
16
Challenges in deploying AI in industry
17
Case studies of AI in manufacturing
18
Future of robotics in industrial settings
19
AI-driven quality control systems
20
Ethics of AI in industrial applications