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World Summit and Expo on Robotics, AI and Machine Learning

March 26-28, 2026 Rome, Italy


Abstract Submission Deadline: September 15, 2025

EarlyBird Registration Deadline: 15-04-2025

About Conference

  • World Summit and Expo on Robotics, AI, and Machine Learning
    (ROBOTICS
    -2026)

    Welcome to the Future of Technology and Innovation!

    We are excited to announce the launch of our premier event, the World Summit and Expo on Robotics, AI, and Machine Learning (ROBOTICS-2026). This cutting-edge conference will take place from March 26-28, 2026 in Rome, Italy, bringing together the brightest minds in robotics, artificial intelligence, and machine learning.

    Robotics-2026 offers an exceptional platform for researchers, engineers, entrepreneurs, and industry professionals to explore the latest advancements, trends, and challenges in these transformative fields. With a robust program that includes keynote presentations, technical sessions, panel discussions, and interactive workshops, attendees will gain insights into robotics innovations, AI-driven automation, machine learning applications, and much more.

    Our distinguished speakers, hailing from academia, leading research institutions, and industry giants, will share their expertise and offer valuable perspectives on the future of robotics, AI, and machine learning. Whether you are an established expert or an emerging talent, this summit provides an unmatched opportunity to network, collaborate, and shape the future of technology.

    Join us in Rome for an exciting and informative experience that will push the boundaries of robotics and artificial intelligence. Register today to secure your place and be part of this landmark event!

Session

Artificial Intelligence (AI)

AI for robotics and autonomous systems

Human-robot interaction

Robot ethics

Robot safety

Internet of Things (IoT)

Mechatronics

Autonomous robots

Supervised learning

Unsupervised learning

Reinforcement learning

Support vector machines

Machine Learning

Bayesian learning

Probabilistic models

Causal machine learning

Continual learning

Data analytics

Neural networks

Deep learning theory

Interpretable AI

Explainable AI

AI in healthcare

Feature extraction

Deep Learning Algorithms

Smart Grid Systems

 

Registration


Keynote Session I


Refreshment Break


Keynote Session II


Lunch with Table Discussions


Break Out Session I


Refreshment Break


Breakout Session II

 

Keynote Session III


Refreshment Break


Break Out Session III


Lunch with Table Discussions


Poster Presentations


Refreshment Break


Breakout Session IV

 

Keynote Session IV


Refreshment Break


Break Out Session V


Lunch with Table Discussions


Poster Presentations


Refreshment Break


Breakout Session VI


EndNote Session and Closing Ceremony

Contact us

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