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IEEE ICRA 2023 Workshop - Neuromechanics meets Deep Learning - Call for Posters

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  • IEEE ICRA 2023 Workshop - Neuromechanics meets Deep Learning - Call for Posters

    =================================
    • IEEE ICRA 2023, London, UK
    • Workshop day and time: May 29th at 9:00AM.
    • Workshop number: MW19
    • Title: NEUROMECHANICS MEETS DEEP LEARNING. New Opportunities & Avenues for Robotics and Human-Robot Interaction.
    • Website: https://sites.google.com/view/myosui...mposium/icra23

    =================================


    The goal of this workshop is to bring together experts at the intersection between Neuromechanics, Robotics, and Machine Learning to fuel discussion and share results on advancements how we can endow intelligence within digital representations of the human musculoskeletal system with interacting robots.

    INVITED SPEAKERS:
    On these topics we’ll have an extraordinary set of invited speakers:
    • Emo Todorov, U of Washington.
    • Pulkit Agrawal, MIT.
    • Nidhi Seethapathi, MIT.
    • Ajay Seth, TU Delft.
    • Francisco Valero-Cuevas, USC.

    JOIN OUR HANDS-ON TUTORIAL:
    We will provide a hands-on tutorial on how to operate our recently developed open source framework MyoSuite, which enables merging reinforcement learning with large-scale, computationally fast musculoskeletal models. You can already try out some of our MyoSuite models in real-time directly from the web: https://sites.google.com/view/myosui...sim?authuser=0

    CALL FOR POSTERS:
    Our workshop will feature a poster session. If you have results that are aligned with our workshop theme and you’d like to present them within our workshop, please contact us via email (guillaume.durandau[at]mcgill.ca) with [ICRA Poster] as the subject.

    Regards,

    Massimo Sartori


    On behalf of the workshop organizing team:
    • Vikash Kumar, FAIR-MetaAI
    • Vittorio Caggiano, FAIR-MetaAI
    • Seungmoon Song, Northeaster Univ.
    • Guillaume Durandau, McGill Univ.
    • Huawei Wang, U. of Twente
    • Massimo Sartori, U. of Twente







    ---
    Massimo Sartori
    Professor and Chair, Neuromechanical Engineering
    PI, Neuromechanical Modeling and Engineering Lab

    University of Twente, TechMed Centre, Robotics Centre
    Faculty of Engineering Technology
    Department of Biomechanical Engineering
    7500 AE, The Netherlands

    Personal: https://people.utwente.nl/m.sartori
    Lab: https://bit.ly/NMLab
    YouTube: https://bit.ly/NMLTube


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