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Coffee and Control

Coffee and Control

De : Lucy Hodgins
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Podcast in which I interview fascinating people from within the world of control theory/ control engineering. Primarily aimed at PhD/masters students but can hopefully be enjoyed by anyone with an interest in control. New episodes released monthlyLucy Hodgins Mathématiques Science
Épisodes
  • Carmen Amo Alonso: Part 2 (AI Architectures and the Dynamics of Intelligence)

    Carmen Amo Alonso: Part 2 (AI Architectures and the Dynamics of Intelligence)
    Jun 7 2026
    In the second part of my interview with the incredibly talented Carmen Amo Alonso we discuss her fascinating work at the intersection of AI and control, examining topics such as:Using tools from control theory to analyse and design AI systemsControlling large language models to guarantee a particular sentiment for their outputUsing vision-language-action models to control robots using languageand a whole lot more! You can find the transcript for this episode at: https://docs.google.com/document/d/1ph1yaQuV_ybRM8h9rU5Uvmz9eB5Ar4HVhcBnc7b7zJ8/edit?usp=sharingFollow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/ ReferencesThe architecture of language: https://www.youtube.com/watch?v=ApC0AWWTajUDiffusion models: https://the-principles-of-diffusion-models.github.io/Skip connection paper: https://arxiv.org/abs/2410.10609 Review of state-space models in AI: https://arxiv.org/abs/2403.16899 3 Blue 1 Brown video on transformers: https://www.youtube.com/watch?v=wjZofJX0v4MDynamical systems framework paper: https://arxiv.org/abs/2405.15731 Designing sequence models: https://arxiv.org/abs/2510.09389v1Controlling LLM output: https://arxiv.org/abs/2405.15454v3Controllability of LLMs: https://arxiv.org/abs/2601.05637v1 Vision-language-action model paper: https://arxiv.org/abs/2603.05487v1NARRATE: https://arxiv.org/abs/2403.10762DEMONSTRATE: https://arxiv.org/abs/2507.12855v1Domitilla Del Vecchio: https://meche.mit.edu/people/faculty/ddv@MIT.EDUBiomolecular feedback systems book: https://www.fbswiki.org/wiki/index.php/Biomolecular_Feedback_SystemsMathias Foo episode: https://open.spotify.com/episode/1G3vhRoeenTWRrEwauT0neinControl episodes: Mario di Bernardo: https://www.incontrolpodcast.com/1632769/episodes/19167890-ep44-mario-di-bernardo-from-circuits-to-cells-and-swarms-control-meets-complexityMustafa Khammash: https://www.incontrolpodcast.com/1632769/episodes/12648716-ep11-mustafa-khammash-cybergeneticsJohn Doyle: https://ieeecss.org/contact/john-doyleInControl episode: https://www.incontrolpodcast.com/1632769/episodes/12841020-ep12-john-doyle-part-i-a-pioneer-s-guide-to-robust-control-the-past-present-and-futureJerome Sieber: https://jerome.sieber.io/
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    52 min
  • Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)

    Carmen Amo Alonso: Part 1 (Distributed and Localized Model Predictive Control)
    Jun 2 2026

    In this episode I talk to the very wonderful Carmen Amo Alonso about her (award-winning) PhD research on distributed and localised MPC. We also cover super interesting and useful concepts such as system-level synthesis and ADMM, as well as her internship working at Tesla!


    You can access the transcript at: https://docs.google.com/document/d/1SErvHtKoE18QzelHDUh9im6AeG3zKPWZLRoNGx5BUyg/edit?usp=sharing


    Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/

    Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/

    References

    Carmen: https://camoalon.github.io/

    JPL: https://www.jpl.nasa.gov/

    John Doyle: https://ieeecss.org/contact/john-doyle

    Feedback in biological control: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867859

    https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9867794

    Thesis: https://thesis.caltech.edu/15262/3/Carmen_Amo_Alonso_Caltech_PhD_Thesis.pdf

    Distributed localised MPC paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9939038

    Professor Melanie Zeilinger: https://nccr-automation.ch/about/people/melanie-zeilinger-0

    SLS for robust nonlinear optimal control: https://arxiv.org/pdf/2301.04943

    Professor Nikolai Matni: https://nikolaimatni.github.io/

    System-level synthesis tutorial: https://arxiv.org/abs/1904.01634

    YouTube videos on DLMPC: https://www.youtube.com/watch?v=mF2Wbriy2Zg

    https://www.youtube.com/watch?v=IhtuGZp8QM0&t=302s

    ADMM survey paper: https://arxiv.org/abs/2208.03700

    Professor James Anderson: https://www.columbia.edu/~ja3451/

    Data-driven DLMCP: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9772975

    Willems fundamental lemma: https://eprints.soton.ac.uk/262195/1/PersistencyExcitation.pdf

    Paolo Rapisarda episode: https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw

    Implementing DLMP on GPUs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9831839

    Clubes de Ciencia: Mexico: https://clubesdeciencia.mx/

    Peru: https://clubesdecienciaperu.org/

    Terry Sejnowski: https://biology.ucsd.edu/research/faculty/tsejnowski
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    30 min
  • Journal Clubs (Creating reading groups that people want to be part of)

    Journal Clubs (Creating reading groups that people want to be part of)
    May 1 2026

    In this episode I talk to three lovely researchers all about journal clubs (AKA reading groups) – what they are, why you might want to be part of one, and how to start your own! I also give some insights from my own experiences running a (control-related) journal club, as well as a summary of three of my favourite papers we’ve read.

    You can find the transcript at: https://docs.google.com/document/d/19i4egf_2KEWqkp94ZW3QjRTH8PeAZz6yEix8zoSfx4k/edit?usp=sharing

    Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/

    Or connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/

    References

    Al Edwards: https://www.southampton.ac.uk/people/62mm7y/doctor-al-edwards

    Antonia Marcu: https://www.southampton.ac.uk/people/5xk5lz/miss-antonia-marcu

    Convexification for soft landing optimal control paper: http://www.larsblackmore.com/iee_tcst13.pdf

    Improved soft robotic parameterisation paper: https://ieeexplore.ieee.org/document/8961972

    KKL observer synthesis paper: https://arxiv.org/abs/2501.11655

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    34 min
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