Coffee and Control
Coffee and Control
Podcast Description
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 monthly
Podcast Insights
Content Themes
The podcast focuses on a range of advanced topics within control theory, including geometric control, fractional order systems, aircraft control, and rehabilitation applications. Episodes dive into specific areas such as Boolean control using state-space approaches, anti-windup techniques in aircraft systems, and the application of iterative learning control in stroke rehabilitation.

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 monthly
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 systems
Controlling large language models to guarantee a particular sentiment for their output
Using vision-language-action models to control robots using language
and a whole lot more!
You can find the transcript for this episode at: https://docs.google.com/document/d/1ph1yaQuV_ybRM8h9rU5Uvmz9eB5Ar4HVhcBnc7b7zJ8/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
The architecture of language: https://www.youtube.com/watch?v=ApC0AWWTajU
Diffusion 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=wjZofJX0v4M
Dynamical systems framework paper: https://arxiv.org/abs/2405.15731
Designing sequence models: https://arxiv.org/abs/2510.09389v1
Controlling LLM output: https://arxiv.org/abs/2405.15454v3
Controllability of LLMs: https://arxiv.org/abs/2601.05637v1
Vision-language-action model paper: https://arxiv.org/abs/2603.05487v1
NARRATE: https://arxiv.org/abs/2403.10762
DEMONSTRATE: https://arxiv.org/abs/2507.12855v1
Domitilla Del Vecchio: https://meche.mit.edu/people/faculty/[email protected]
Biomolecular feedback systems book: https://www.fbswiki.org/wiki/index.php/Biomolecular_Feedback_Systems
Mathias Foo episode: https://open.spotify.com/episode/1G3vhRoeenTWRrEwauT0ne
inControl episodes: Mario di Bernardo: https://www.incontrolpodcast.com/1632769/episodes/19167890-ep44-mario-di-bernardo-from-circuits-to-cells-and-swarms-control-meets-complexity
Mustafa Khammash: https://www.incontrolpodcast.com/1632769/episodes/12648716-ep11-mustafa-khammash-cybergenetics
John Doyle: https://ieeecss.org/contact/john-doyle
InControl episode: https://www.incontrolpodcast.com/1632769/episodes/12841020-ep12-john-doyle-part-i-a-pioneer-s-guide-to-robust-control-the-past-present-and-future
Jerome Sieber: https://jerome.sieber.io/

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