BROCHURE

2nd World Summit and Expo on Robotics, AI and Machine Learning

March 18-20, 2027 Tokyo, Japan

Submit Abstract Registration

Abstract Submission Deadline: August 31, 2026

Early Bird Registration Deadline: September 10, 2026

Welcome Message by Conference Chair


  • Dear Colleagues, Researchers, Academicians, Industry Professionals, and Students,

    It is my great pleasure to welcome you to the 2nd World Summit and Expo on Robotics, AI and Machine Learning (ROBOTICS-2027), taking place from March 18–20, 2027, in Tokyo, Japan.

    ROBOTICS-2027 brings together leading experts, researchers, innovators, and industry professionals from around the world to share the latest advances in robotics, artificial intelligence, machine learning, automation, and intelligent systems. This conference provides an excellent platform to exchange ideas, present innovative research, build collaborations, and discuss the future of intelligent technologies.

    Our scientific program includes keynote lectures, plenary talks, technical sessions, workshops, panel discussions, poster presentations, and networking opportunities. The conference is designed to encourage meaningful discussions between academia, industry, and research organizations, helping to transform innovative ideas into real-world solutions.

    Whether you are an experienced researcher, an industry leader, or a young scientist beginning your research journey, we believe ROBOTICS-2027 will offer valuable learning experiences, new collaborations, and lasting professional connections.

    On behalf of the Organizing Committee, I warmly invite you to join us in Tokyo and contribute to the success of ROBOTICS-2027. We look forward to welcoming you and making this event an inspiring and memorable experience.

    Thank you, and we look forward to meeting you in Tokyo, Japan.

    Best Regards,


    Prof. JingTao Yao
    Conference Chairperson | ROBOTICS-2027
    Professor of Computer Science
    University of Regina, Canada

Sponsoring Partner


Noitom Robotics

Noitom Robotics is a data company for Physical AI. We build the World Compiler — the infrastructure layer that transforms real-world human interaction into machine-learnable representations for embodied intelligence. Our implementation is ModalityNet (modalitynet.com), a large-scale, human-centric, omnimodal data substrate built on three complementary corpora: HiPHI-MOV (High Precision Human Interaction — Motion with Object and Vision), capturing high-fidelity whole-body motion and loco-manipulation; HiPHI-OM (High Precision Human Interaction — Omni-Modality), capturing omni-modal interaction including contact, force, tactile, and object-state signals; and ITW (In-The-Wild), capturing natural human behavior at scale in unconstrained real-world environments. Together they address the core bottleneck of Physical AI — not data scarcity, but learnability — by using compact, fully structure