Hybrid Conferencee

International Conference on Autonomous Systems driven by Artificial Intelligence (ICASDAI - 26)

23rd - 24th October 2026 | Espoo, Finland

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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 Espoo. 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 Espoo 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 Espoo conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Espoo, 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 Espoo."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
Track 01

Advancements in Autonomous Robotics

This track focuses on the latest developments in autonomous robotics, emphasizing the integration of AI technologies. Researchers are invited to present innovative solutions that enhance robotic autonomy and functionality in various applications.

Track 02

Machine Learning Techniques for Intelligent Systems

This session will explore cutting-edge machine learning methodologies that drive the performance of intelligent systems. Papers should address novel algorithms, frameworks, and their practical applications in real-world scenarios.

Track 03

AI-Driven Automation in Control Systems

This track examines the role of artificial intelligence in automating control systems across diverse industries. Contributions should highlight advancements in AI frameworks that improve system efficiency and reliability.

Track 04

Predictive Analytics for Autonomous Decision-Making

This session invites discussions on predictive analytics methodologies that enhance decision-making in autonomous systems. Submissions should demonstrate how these techniques can optimize performance and outcomes.

Track 05

Deep Learning Applications in Autonomous Systems

This track will delve into the application of deep learning techniques in the development of autonomous systems. Researchers are encouraged to share insights on model architectures and their effectiveness in various domains.

Track 06

Emerging Technologies in AI and Automation

This session will highlight emerging technologies that are shaping the future of AI and automation. Papers should focus on innovative applications and their potential impact on industry practices.

Track 07

Optimization Strategies for AI-Driven Solutions

This track focuses on optimization strategies that enhance the performance of AI-driven solutions in autonomous systems. Contributions should present novel approaches to system optimization and efficiency improvements.

Track 08

Robustness and Safety in Autonomous Systems

This session will address the critical aspects of robustness and safety in the design of autonomous systems. Researchers are invited to discuss methodologies that ensure reliability and security in AI applications.

Track 09

Human-AI Collaboration in Intelligent Systems

This track explores the dynamics of human-AI collaboration in intelligent systems. Papers should investigate frameworks and strategies that facilitate effective interaction between humans and autonomous agents.

Track 10

Innovation Strategies for AI Integration

This session will focus on strategies for integrating AI technologies into existing systems and processes. Contributions should highlight case studies and best practices that demonstrate successful innovation.

Track 11

Ethical Considerations in Autonomous AI Systems

This track addresses the ethical implications of deploying autonomous systems driven by artificial intelligence. Researchers are encouraged to explore frameworks that promote responsible AI use and address societal impacts.