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In this episode I have a lovely conversation with Dr BarbaraFranci about her research into game theory, exploring both theoretical concepts (such as variational inequalities, forwards-backwards algorithms, and stochasticNash equilibrium-seeking problems) and practical applications, including resource allocation, energy management, and generative adversarial networks!   You can find the transcript at: https://docs.google.com/document/d/1h9AbCPzzlt7ggNOGx3bK3pwSaCUo__LtYzvdJ-5wqYw/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 Barbara Franci: https://www.maastrichtuniversity.nl/b-franci PhD thesis: https://tesidottorato.depositolegale.it/bitstream/20.500.14242/198173/1/FRANCI%20Tesi2.pdf More background on evolutionary games: https://users.ssc.wisc.edu/~whs/teaching/805/handbook.pdf Jeff Shamma inConctrol episode: https://www.incontrolpodcast.com/1632769/episodes/18482182-ep40-jeff-shamma-gain-scheduling-nonlinear-control-learning-dissipativity-in-games-jiu-jitsu  Wisdom of a crowd paper: https://epubs.siam.org/doi/abs/10.1137/18M1232267 Francesco Bullo: https://fbullo.github.io/ Original Galton paper: https://www.nature.com/articles/075450a0   Video on the Lagrangian: https://www.youtube.com/watch?v=GR4ff0dTLTw Useful lecture notes on these concepts: https://www.mit.edu/~gfarina/notes/   Distributed forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9309063 Extragradient paper: https://ieeexplore.ieee.org/abstract/document/11184508 Relaxed inertial forwards-backwards paper: https://ieeexplore.ieee.org/abstract/document/9682905   Professor Lacra Pavel: https://www.ece.utoronto.ca/people/pavel-l/ Deterministic decoupling paper: https://www.researchgate.net/publication/330888828_An_operator_splitting_approach_for_distributed_generalized_Nash_equilibria_computation Pseudo-monotone functions: https://www.researchgate.net/publication/225986571_Pseudomonotone_Operators_A_Survey_of_the_Theory_and_Its_Applications Inertial gradient descent: https://www.youtube.com/watch?v=iudXf5n_3ro&t=60s   GANs paper: https://ieeexplore.ieee.org/abstract/document/9523601 Original Goodfellow paper: https://arxiv.org/abs/1406.2661 Partial information paper: https://www.sciencedirect.com/science/article/pii/S0005109821006300 Incorporating a bias: https://ieeexplore.ieee.org/abstract/document/10886508 Nash games with misleading information: https://ieeexplore.ieee.org/abstract/document/11008595 Evolutionary dynamics in distributed control: https://ieeexplore.ieee.org/document/7823106

In this bonus episode I explore the work of ten fascinating researchers that I met at the Meet the Faculty Candidates poster session at CDC last month. We cover a wide array of different areas, including data-driven methods, fault-tolerant control, biological systems, PDEs, distributed estimation and a whole lot more!   Correction: At ~5:20 I mention that Anju was able to characterize the strategies of the two communicating entities at the Nash equilibrium - In actual fact this is a Stackelberg equilibrium (Stackelberg games involve players acting sequentially, taking either a leader or follower role) You can view the transcript for this episode at: https://docs.google.com/document/d/15Tf4ORHPI5Thbs-nA9DQTSu87TKbYni9JJN2UXqn5kU/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/   Links and references Amy Strong: https://bridgeman.pratt.duke.edu/people/amy-strong Paper on data-driven invariance: https://arxiv.org/pdf/2511.19231   Anju Anand: https://sites.google.com/binghamton.edu/anjuanand Strategic quantisation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10960399 Incorporating privacy into the objective: https://arxiv.org/pdf/2506.06321   Brian Block: https://mae.osu.edu/people/block.168 Control of PDE traffic flow: https://arxiv.org/pdf/2512.04823 Declan Jagt: https://search.asu.edu/profile/3729730 Stability analysis of coupled multivariate PDEs: https://arxiv.org/pdf/2508.14840 Scalar quadratic PDEs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10384073 PIETOOLS software: https://control.asu.edu/pietools/pietools Hamza El-Kebir: https://www.linkedin.com/in/hamza-el-kebir/ Control authority degradation paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10354437 Sensor and actuator degradation: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10521243 Electrosurgery paper: https://royalsocietypublishing.org/rsif/article/21/210/20230420/90578/Heat-conduction-in-live-tissue-during Electrostatic signed distance functions: https://arxiv.org/pdf/2508.12554   Kirill Sechkar: https://engbio.ox.ac.uk/people/kirill-sechkar Control of genetic circuits paper: https://www.biorxiv.org/content/10.1101/2025.04.01.646303v2.full.pdf   Nick Marios Kokolakis: https://www.linkedin.com/in/nick-marios-t-kokolakis-44717b164/ Pre-defined time RL paper: https://www.sciencedirect.com/science/article/abs/pii/S0005109825003152  Parth Paritosh: https://pptx.github.io/pparitosh/Estimating a subset of variables: https://arxiv.org/pdf/2312.01227 Privacy preserving paper: https://ieeexplore.ieee.org/abstract/document/11073227 Radoslaw Patelski: https://www.linkedin.com/in/radoslaw-patelski/?originalSubdomain=pl Observers for hovercraft: https://ieeexplore.ieee.org/abstract/document/9874346 ADRC with parameter identification: https://ieeexplore.ieee.org/abstract/document/10345678 ADRC with adaptive input gain: https://www.sciencedirect.com/science/article/pii/S0019057825001089   Carmen Amo Alonso: https://camoalon.github.io/ Research overview: https://camoalon.github.io/research/ Comparing mixer blocks: https://arxiv.org/pdf/2405.15731 Intro to state space models in deep learning: https://arxiv.org/pdf/2403.16899 Combining generative AI with control in robotics: https://arxiv.org/pdf/2403.10762

In this episode I bring my microphones with me to the conference of decision and control (CDC) where I talk to a load of interesting researchers about their recent work. Featuring discussion of a wide range of different topics, including reinforcement learning, control architecture, game theory, AI-human interaction, event-triggered control and a whole lot more!   You can view the episode transcript at: https://docs.google.com/document/d/1h6PdTd9xLTcJOGPx6TIkXOKPz_NGoS9_sA8CUvoZlx8/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/   CDC web-page: https://cdc2025.ieeecss.org/ Female influencers in control: https://www.control.lth.se/external-engagement/female-influencers-in-automatic-control/ Survey: https://docs.google.com/forms/d/e/1FAIpQLSe7VtNHI6bG8UBEoSGiAuVXNsmXSHlw8xG0LuMon2DVd0Pv0A/viewform inControl episode: https://www.incontrolpodcast.com/1632769/episodes/18361436-ep39-female-influencers-in-control   Alessandro Abate: https://www.cs.ox.ac.uk/people/alessandro.abate/ Maegan Tucker: https://maegantucker.com/ Joe Moeller: https://joe-moeller.com/ Category theory blog: https://joe-moeller.com/hi/ Rodolphe Sepulchre: https://www.eng.cam.ac.uk/profiles/rs771 inControl episode: https://CoffeeControlLinks.short.gy/9HLW37 Spiking control of a snake: https://arxiv.org/pdf/2509.02968 Neuromorphic architecture: https://arxiv.org/pdf/2511.11924   Raj Velichete: https://ece.illinois.edu/about/directory/grad-students/rkv4 Vijeth Hebber: https://www.vijethhebbar.com/ John Doyle: https://www.eas.caltech.edu/people/doyle InControl episodes: https://CoffeeControlLinks.short.gy/yx0IF5https://CoffeeControlLinks.short.gy/qtk0Le Dimos Dimarogonas: https://people.kth.se/~dimos/ Plenary on formal verification for multi-agent systems: https://www.youtube.com/watch?v=5C3GSgVmxdo&t=1327s Attacks on controlling multi-agent systems: https://ieeexplore-ieee-org.soton.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber=11036540 ESC inspired by insect flapping: https://ieeexplore-ieee-org.soton.idm.oclc.org/stamp/stamp.jsp?tp=&arnumber=11006034 My CDC paper: https://pure.soton.ac.uk/admin/files/315205732/CDC2025_2_.pdf Jorge Poveda: https://poveda.ucsd.edu/ Victoria Grushkovskaya: https://grushkovska.science/ Higher-order Lie bracket extremum-seeking: https://arxiv.org/pdf/2310.07092 https://arxiv.org/pdf/2504.01136   Azu Ozdaglar: https://asu.mit.edu/ Full video: https://www.youtube.com/watch?v=2DR37zdEKPw Matt Turner: https://www.southampton.ac.uk/people/5y5nkg/professor-matthew-turner Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vt Kemin Zhou: https://www.ece.lsu.edu/kemin/ Multiobjective complementary control: https://ieeexplore-ieee-org.soton.idm.oclc.org/document/10767397   Yujun Huang: https://zardini.mit.edu/people/yujun-huang/ Tyler Hanks: https://gataslab.org/members/tylerhanksNextCom: https://sites.google.com/view/css-nextcom NextCom podcast episode: https://open.spotify.com/episode/7exZHRwVazI8AaHtiSMmE8 Csaba Szepesvari: https://sites.ualberta.ca/~szepesva/ Friday plenary talk: https://www.youtube.com/watch?v=-W2IrHyuSjU Fengyu Yue: https://www.linkedin.com/in/fengyu-yue-8849a6314/?originalSubdomain=il Pio Ong: https://pioong.github.io/ Jacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/?lang=en Bode lecture: https://www.youtube.com/watch?v=-W2IrHyuSjU  (Skip to 4:52:46) Alberto Padoan episode on model order reduction: https://open.spotify.com/episode/1kwlnlQqtID1naRcyLL12O Meggie Maschner: https://www.linkedin.com/in/meggie-marschner-445634236/?originalSubdomain=de Brooks Butler: https://sites.google.com/view/brooks-butler Mauro Salazar: https://www.tue.nl/en/research/researchers/mauro-salazar Design of smart cities: https://www.youtube.com/watch?v=-W2IrHyuSjU  (Skip to 8:32:49)

In this episode I talk to some wonderful members of IEEEcontrol systems society (CSS) NextCom committee about their work fostering inclusivity and belonging within CSS, as well as empowering the next generation of leaders within control. We also cover how you can be a part of this!   You can find the transcript at: https://docs.google.com/document/d/186arBxVLdcpHUCT9djgXQ7IMVvX5SLsMk0LmnzOLbRY/edit?usp=sharing   Fill in this leadership interest survey if you’d like to getinvolved:  https://docs.google.com/forms/d/e/1FAIpQLSc-9qK13qYOSylyo-L-s8LvIYjd9bUmWlpd7zj2C7cxDASK-Q/viewform?usp=sharing&ouid=113511961640315346198   Slack channel: https://join.slack.com/t/next-comworkspace/shared_invite/zt-3kz84ooc6-iLeTIhTKs5oMwJ8ccjTZxw(This link will time-out after a little while – if you find it’s not working you can contract me or one of the other committee members and we can add you directly!)   Links and references NextCom webpage: https://sites.google.com/view/css-nextcom Brooks Butler: https://sites.google.com/view/brooks-butler Email: [email protected] Anastasia Bizyaeva: https://anastasiabzv.github.io/ Email: [email protected] Phil E Paré: https://sites.google.com/view/philpare Umar Niazi: https://sites.google.com/view/umarniazi/ Urmee Maitra: https://urmeemaitra.github.io/ Carina Veil: https://profiles.stanford.edu/carina-veil Pio Ong: https://pioong.github.io/ Leonardo Toso: https://leotoso.github.io/     ECC episode: https://open.spotify.com/episode/4PAlFzgSoLM6andaXEWB8e

This month I got to interview Sophie Schirmer about herfascinating work on quantum control, including notions such as controllability and realisability, different types of quantum states (including pure, mixed, and dark states), comparison between different approaches to optimisation, and the quantum phenomena inside MRI scanners!   You can find the transcript at: https://docs.google.com/document/d/1l0TFtckp7zEKCG0wdMHY0nySptrzbkV9ohQExa6ykGg/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 Sophie’s thesis: https://scholarsbank.uoregon.edu/items/63c4205b-9a0d-4622-833f-377f975c8cb3 Herschel Rabitz papers: https://pubs.aip.org/aip/acp/article-abstract/334/1/160/783416/Control-of-quantum-dynamics-The-dream-is-alive?redirectedFrom=fulltext https://www.science.org/doi/10.1126/science.259.5101.1581 Control paradigms for quantum engineering: https://arxiv.org/abs/0805.2890 Energy landscape shaping as feedback control: https://ieeexplore.ieee.org/document/8119551   Kinematic bounds paper: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.58.2684 Dynamic realisability of systems that aren’t completelycontrollable: https://ieeexplore.ieee.org/abstract/document/912046 Types of controllability: https://iopscience.iop.org/article/10.1088/0305-4470/35/18/309 More detail in this paper: https://arxiv.org/abs/quant-ph/0110171 Hilbert spaces: https://www.math.ucdavis.edu/~hunter/book/ch6.pdf Pure vs mixed states: https://medium.com/@emilmarinov/pure-mixed-and-entangled-quantum-states-84e8a4a8dd16 Controllability with a single actuator: https://arxiv.org/pdf/0801.0721 Dark states and their enlightenment: https://arxiv.org/abs/1003.4290   Quantum gravity lecture: https://podcasts.ox.ac.uk/oxford-mathematics-public-lectures-carlo-rovelli-spin-networks-quantum-structure-spacetime-penroses Incorporating encoding into quantum system design: https://journals.aps.org/pra/pdf/10.1103/PhysRevA.109.042408 Ilja Kuprov: https://www.southampton.ac.uk/people/5x97wv/professor-ilya-kuprov Beyondpiecewise constant controls: https://arxiv.org/pdf/2303.09458  Lyaounov functions: https://underactuated.mit.edu/lyapunov.html p.s. I would highly recommend the inControl episode on AleksandrLyapunov: https://www.incontrolpodcast.com/1632769/episodes/18019902-ep37-a-m-lyapunov-the-general-problem-of-stability-of-motion Control Lyapunov functions: https://stanford.edu/class/ee363/lectures/io-lyap.pdf Lyapunov control of quantum systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=5415539 Entanglement generation: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.80.042305 Bell states: https://en.wikipedia.org/wiki/Bell_state Edmund Jonckheere: https://ee.usc.edu/~jonckhee/ SSV paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9682796 Robust control of open quantum systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9792196 Entanglement generation in a lossy cavity: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9992337 Quantum reservoir engineering: https://www.sciencedirect.com/science/article/pii/S1474667016316962 Energy landscape shaping paper: https://iopscience.iop.org/article/10.1088/1367-2630/addc0d/pdf Schrodinger’s cat review paper: https://link.springer.com/article/10.1140/epjd/e2015-60464-1 Feynman’s lectures on physics: https://www.feynmanlectures.caltech.edu/

In this month’s episode got to talk to Dr Carrie Weidner allabout controlling quantum systems! I find out what the control objective is forthese systems, how to characterise their robustness (or at least attempt to),how easy it is to apply this to practical systems, and a lot more besides. You can find the transcript at: https://docs.google.com/document/d/1aixaD-P6R6jFDjS4Zp6nJ2n5ZHPfbWKYCue2v2_ZCVU/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 PhD thesis: https://jila.colorado.edu/sites/default/files/2019-03/Weidner_PhD_final.pdf Sabine Hauert episode: https://open.spotify.com/episode/65iwMh2NstKqXvfATpzfm4 Sabine episode transcript: https://docs.google.com/document/d/12t_8k9LRckeGB--YVDS0XWnOeLX8sQcY3njA7jBCj1o/edit?usp=sharing Carrie’s quantum control survey: https://arxiv.org/pdf/2401.00294 Sophie Shermer: https://www.swansea.ac.uk/staff/s.schirmer/ Frank Langbein: https://langbein.org/ Edmond Jonckheere: https://ee.usc.edu/~jonckhee/ Sean O’Neil: https://scholar.google.com/citations?user=250lKHEAAAAJ&hl=en Phila Rembold: https://qusco-itn.eu/portfolio_page/phila-rembold-2/ Bases in quantum control: https://arxiv.org/pdf/2405.20889 Nelder-Mead optmisation: http://www.scholarpedia.org/article/Nelder-Mead_algorithm#Advantages_and_disadvantageshttps://brandewinder.com/2022/03/31/breaking-down-Nelder-Mead/ Ronnie Kosloff: https://www.humboldt-foundation.de/en/connect/explore-the-humboldt-network/singleview/1211067/prof-dr-ronnie-kosloff Belavkin-Carmichael quantum filter: https://arxiv.org/abs/quant-ph/0510028 Luenburg filter papers: https://arxiv.org/abs/1609.06454 https://ieeexplore.ieee.org/document/6426181 Non-Markovian systems papers: https://iopscience.iop.org/article/10.1088/1367-2630/14/7/073023  https://arxiv.org/abs/2408.09637 Christiane Koch: https://atominnen.at/empower/interviews/382-christiane-koch Open quantum systems paper: https://iopscience.iop.org/article/10.1088/0953-8984/28/21/213001 Carrie’s mu analysis paper: https://arxiv.org/pdf/2207.12385 Randa Herzallah: https://warwick.ac.uk/fac/sci/maths/people/staff/herzallah/ Paper on quantum optimal control: https://www.tandfonline.com/doi/pdf/10.1080/00207179.2024.2342939 Quantum thermodynamics paper: https://journals.aps.org/pra/abstract/10.1103/PhysRevA.98.012139 Irtaza Khalid: https://profiles.cardiff.ac.uk/staff/khalidmi Robustness-infidelity metric paper: https://journals.aps.org/pra/pdf/10.1103/PhysRevA.107.032606 Time-domain log-sensitivity paper: https://arxiv.org/pdf/2210.15783 Unifying log-sensitivity and RIM: https://arxiv.org/pdf/2303.09518   Robust quantum control papers: https://arxiv.org/pdf/2110.05372 https://arxiv.org/pdf/2008.13691   Energy landscape shaping paper: https://iopscience.iop.org/article/10.1088/1367-2630/addc0d Jacob Sherson: https://jacobsherson.com/ David DiVincenzo: https://qutech.nl/person/david-divincenzo/   Enrico Fermi: https://www.dpma.de/english/our_office/publications/milestones/greatinventors/enricofermi/index.html Physical review letters paper: https://link.aps.org/accepted/10.1103/PhysRevLett.120.263201 Point spread modification paper: https://arxiv.org/pdf/2312.05341

In this episode I sit down with Dr Andy Lawrence and learn all about the Engineering and Physical Sciences Research Council (EPSRC), including his top tips on successful grant applications, advice for not getting discouraged by rejected submissions, how to build successful collaborations with industry, and a lot more besides!   You can find the transcript for this episode at: https://docs.google.com/document/d/1FxscV2YjbfeI_u26ETkA25hMwGVmJojHdV5zj7J7wyE/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 Andy: https://www.linkedin.com/in/andy-lawrence-7ab0361a/ UKRI: https://www.ukri.org/EPSRC: https://www.ukri.org/councils/epsrc/ Standard mode open funding: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/standard-research/ New investigator awards: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/new-investigator-award/ Network grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/network-grants/ Travel grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/international-funding/overseas-travel-grants/ Program grants: https://www.ukri.org/councils/epsrc/guidance-for-applicants/types-of-funding-we-offer/programme-grants/   Lyapunov theory: https://www.cds.caltech.edu/~murray/courses/cds101/fa02/caltech/mls93-lyap.pdf Kalman filtering: https://thekalmanfilter.com/kalman-filter-explained-simply/ https://kalmanfilter.net/ Non-compressible haemorrhage funding call: https://www.ukri.org/opportunity/novel-technology-for-intervening-in-non-compressible-haemorrhage/ General multidisciplinary scheme: https://www.ukri.org/what-we-do/browse-our-areas-of-investment-and-support/ukri-cross-research-council-responsive-mode-pilot-scheme/   Details and support regarding EPSRC remit: https://www.ukri.org/councils/epsrc/guidance-for-applicants/epsrc-remit/ UKRI funding service: https://www.ukri.org/apply-for-funding/develop-your-application/how-applicants-use-the-ukri-funding-service/ Peer review college: https://www.ukri.org/councils/epsrc/guidance-for-reviewers/peer-review-college/ Nature-based engineering funding call: https://www.ukri.org/opportunity/unlocking-the-full-potential-of-nature-based-engineering/ UKRI remit agreement: https://www.ukri.org/apply-for-funding/get-support-for-your-project/if-your-research-spans-different-disciplines/   Robotic mandibles project: https://www.ukri.org/news/copying-ants-could-help-robots-get-a-better-grip/  https://arxiv.org/abs/2312.05364

This episode features the second part of my interview with the fantastic Alberto Padoan! Featuring discussions of data-driven modelling in a geometric/ non-linear context, how to define distances in a behavioural systems setting, and the origin story of his podcast, inControl. You can find the transcript at: https://CoffeeControlLinks.short.gy/y67vmp Follow the podcast on linkedIn: https://www.linkedin.com/company/coffee-and-control-podcast Or connect with me personally: https://www.linkedin.com/in/lucy-hodgins-733a30175/ Alberto episode part 1: https://open.spotify.com/episode/1kwlnlQqtID1naRcyLL12O Paolo Rapisarda: https://www.southampton.ac.uk/people/5x2hb9/professor-paolo-rapisarda (Coffee and Control episode) https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw Persistency of excitation for autonomous systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7902166 Giordano Scarciotti: https://giordanoscarciotti.com/ Alessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfi Alessandro’s paper on moment matching: https://ieeexplore.ieee.org/abstract/document/5437314 Almost periodicity: https://www.johndcook.com/blog/2022/02/16/almost-periodic-functions/ Examples of uses of polynomial matrices in behaviouralsystems context: https://research.rug.nl/en/publications/linear-differential-systems-2 Conical, convex, and affine behaviours paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10383687 Jan Willems behavioural systems paper: https://homes.esat.kuleuven.be/~sistawww/smc/jwillems/Articles/ConferenceArticles/2002/5.pdf Ettore Fornasini: https://www.dei.unipd.it/~fornasini/ Data-driven control Stuttgart: ⁠https://CoffeeControlLinks.short.gy/Y3ytXoAutonomous e-scooter: https://CoffeeControlLinks.short.gy/oMiusDSoft robotics: https://ieeexplore.ieee.org/document/9992740MPC control of covid outbreaks: https://www.sciencedirect.com/science/article/pii/S136757882030078X?via%3Dihub Florian Dörfler: https://dorfler.ethz.ch/ John Lygeros: https://control.ee.ethz.ch/people/profile.john-lygeros.html Jeremy Coulson:  https://jeremycoulson.github.io/ Keith Moffat: www.keithmoffat.comAlessandro Chuiso: https://automatica.dei.unipd.it/alessandro-chiuso/ Linear quadratic tracking paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7068299 Ivan Markovsky: https://imarkovs.github.io/ Distances between finite horizon behaviours: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=11022752 Uncertainty quantification in data-driven control: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=9993002   Split-as-a-pro: https://arxiv.org/pdf/2505.19411 Yu Tang: https://nccr-automation.ch/about/people/yu-tang Carlo Cenedese: https://ee.ethz.ch/the-department/people-a-z/person-detail.Mjg0OTQz.TGlzdC8zMjc5LC0xNjUwNTg5ODIw.html Alessio Rimoldi: https://github.com/AlessioRimoldi Behavioural uncertainty gap metric paper: https://ieeexplore.ieee.org/abstract/document/9993002 Vidyasagar inControl episode (ep 33): https://CoffeeControlLinks.short.gy/wfzcsi Malcolm Smith: https://www.eng.cam.ac.uk/profiles/mcs1000Glenn Vinnicombe: https://www.eng.cam.ac.uk/profiles/gv103DeePC: https://arxiv.org/abs/1811.05890 CDC/LSS paper: https://arxiv.org/abs/2503.22849 Steve Brunton SVD series: https://CoffeeControlLinks.short.gy/isMaZS inControl podcast: https://www.incontrolpodcast.com/ NCCR automation: https://nccr-automation.ch/ Rudolf Kalman: https://en.wikipedia.org/wiki/Rudolf_E._K%C3%A1lm%C3%A1n Jan Willems: https://en.wikipedia.org/wiki/Jan_Camiel_Willems George Zames: https://en.wikipedia.org/wiki/George_Zames Norbert Weiner inControl episode: https://CoffeeControlLinks.short.gy/7PQUfdRichard Bellman inControl episode: https://CoffeeControlLinks.short.gy/XGgk11(Miroslav Kristic) https://CoffeeControlLinks.short.gy/1RD07e(Tryphon Georgiou) https://CoffeeControlLinks.short.gy/mwpfwx(Mustafa Khammash) https://CoffeeControlLinks.short.gy/T0BsyS

In this episode I sit down with the wonderful Alberto Padoan and discuss his work on model order reduction and generalising concepts from linear systems to the non-linear setting. You can find the transcript at: https://CoffeeControlLinks.short.gy/IRMql9 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 inControl podcast: https://www.incontrolpodcast.com/ Andrea Marson: https://andreamarson.com/bio/ Master’s thesis: https://thesis.unipd.it/retrieve/82963fa4-bbb4-4577-9b83-b4e741a3ce20/main.pdf Alessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfi Sandro Zampieri: https://automatica.dei.unipd.it/old/people/zampieri.html inControl guide to Controllability and Observability: https://CoffeeControlLinks.short.gy/haKThe Stieltjes:  https://en.wikipedia.org/wiki/Thomas_Joannes_Stieltjes   PhD thesis: https://CoffeeControlLinks.short.gy/sImTiq Keith Glover: https://www.eng.cam.ac.uk/profiles/kg103 Coffee and Control episode with Paolo Rapisarda: https://open.spotify.com/episode/076dEw28abILPAbT5qA6aw Thesis on Krylov projectors for model reduction: https://perso.uclouvain.be/paul.vandooren/ThesisGrimme.pdf Sylvester equations and model reduction: https://www.sciencedirect.com/science/article/pii/S0377042703007143 Book on Sylvester equations: https://CoffeeControlLinks.short.gy/e7nYSQ Jacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/cv?lang=en Alberto Isidori: https://www.diag.uniroma1.it/isidori/ Murray Wonham book: https://link.springer.com/book/10.1007/978-1-4612-1082-5 Basile and Marro book: https://CoffeeControlLinks.short.gy/gE3KxH Eigenvalues/ poles of nonlinear systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264032 Books on creativity: Ernest Hemmingway quotes: https://www.goodreads.com/author/quotes/1455.Ernest_Hemingway Dynamics of Creation (https://www.amazon.co.uk/Dynamics-Creation-Anthony-Storr/dp/0345376730)explores how creativity helps resolve inner conflict. Moment matching at singularities: (Complex analytic) https://www.sciencedirect.com/science/article/pii/S2405896317314957 (Geometric) https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264369 Moments of random variables: https://ieeexplore.ieee.org/abstract/document/8637762 Klein bottle videos: https://www.youtube.com/watch?v=AAsICMPwGPY https://www.youtube.com/watch?v=-k3mVnRlQLU Distributions: https://en.wikipedia.org/wiki/Distribution_(differential_geometry) https://webspace.science.uu.nl/~ban00101/anman2009/lecture2.pdf http://staff.ustc.edu.cn/~wangzuoq/Courses/18F-Manifolds/Notes/Lec15.pdf András Sasfi: https://control.ee.ethz.ch/people/profile.andras-sasfi.html Model reduction of dominant systems: https://www.sciencedirect.com/science/article/pii/S0005109821002156 Rodolphe Sepulchre: https://www.eng.cam.ac.uk/profiles/rs771 (inControl episode) https://CoffeeControlLinks.short.gy/1cOrwp (Paper on spiking systems) https://ieeexplore.ieee.org/document/9764708 Fulvio Forni: https://www.eng.cam.ac.uk/profiles/ff286 Goldbeter model: https://pmc.ncbi.nlm.nih.gov/articles/PMC9016794/ Goodwin model: https://pubmed.ncbi.nlm.nih.gov/23936338/ Dominance margins: https://www.sciencedirect.com/science/article/pii/S2405896319318671 Early papers on dominance: https://arxiv.org/abs/1709.06155 https://arxiv.org/abs/1710.01721 Intro to Nyquist diagrams: https://www.youtube.com/watch?v=sof3meN96MA   John Doyle: (inControl interviews) https://CoffeeControlLinks.short.gy/BTj37k https://CoffeeControlLinks.short.gy/k0PXan Gioele Zardini: https://gioele.science/Alberto San Giovanni Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.html (inControl interviews) https://CoffeeControlLinks.short.gy/9fYOiB https://CoffeeControlLinks.short.gy/ehkaV9

In this episode I sit down with Dr Ying Shuai Quan and getexcited about her work on adaptive cruise control and lane-keeping systems, with particular focus on applying model predictive control. Features deep-dives into various aspects of MPC, with occasional offshoots into other cool areas of control!   You can find the transcript for this episode at: https://docs.google.com/document/d/1ufp57VuzymcEivN3lzMaHVKgH8LgqI9BZDzgmdz2pug/edit?usp=sharing Follow the podcast on LinkedIn: https://www.linkedin.com/company/coffee-and-control-podcast/ Or you can connect with me directly: https://www.linkedin.com/in/lucy-hodgins-733a30175/   References/ cool papers to learn more Ying’s thesis: https://repository.hanyang.ac.kr/handle/20.500.11754/188296 Tube-based adaptive cruise control paper: https://ieeexplore.ieee.org/document/9992382 Motion sickness patents: (general system) https://patents.google.com/patent/US20250115255A1/en (control and estimation) https://patents.google.com/patent/US20250128715A1/en Tutorial on IQCs: https://www.scopus.com/pages/publications/84979771505 Classic LMI book: https://web.stanford.edu/~boyd/lmibook/lmibook.pdf LMIs in control book chapter: https://link.springer.com/chapter/10.1007/978-1-84800-025-4_4 Steve Brunton MPC video: https://www.youtube.com/watch?v=YwodGM2eoy4&t=1s Great review/ tutorial paper on MPC: https://link.springer.com/article/10.1007/s00170-021-07682-3 Review on linear fractional transformations: https://ieeexplore.ieee.org/document/261572 Ying’s control-barrier functions paper: https://ieeexplore.ieee.org/document/10130631 Tutorial paper on CBFs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836828 Review on control barrier functions: https://ieeexplore.ieee.org/abstract/document/10836828 Using CBFs in MPC: https://arxiv.org/abs/2502.08400 Control Lyapunov-barrier function-based MPC: https://ieeexplore.ieee.org/document/8431468 High-order CBFs: https://ieeexplore.ieee.org/document/9516971 Neural network lane-keeping paper: https://ieeexplore.ieee.org/document/8859955 Robust stability of NN-based LKS: https://ieeexplore.ieee.org/abstract/document/10644841 Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vt Transcript: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharing Multiple model switched adaptive control: https://eprints.soton.ac.uk/72334/ Examples of systems with unknown input delays: (Connected platoons) https://ieeexplore-ieee-org/document/9530266 (Glucose control in diabetes) https://www.scopus.com/pages/publications/85192198866 (Spacecraft control) https://www.scopus.com/pages/publications/84947032651 Min-max MPC for non-linear systems: https://www.sciencedirect.com/science/article/pii/S0947358009707034 PCA: https://www.geeksforgeeks.org/data-analysis/principal-component-analysis-pca/ LPV gain-scheduling control with parameter reduction: https://ieeexplore.ieee.org/document/9830128 Safe MPC using constraint softening: https://arxiv.org/abs/2503.15373 Application to autonomous driving: https://arxiv.org/abs/2505.05933 Robust and Stochastic MPC: https://www.sciencedirect.com/science/article/pii/S1367578816300098 Stochastic MPC review: https://ieeexplore.ieee.org/document/7740982Polynomial chaos in non-linear stochastic MPC: https://ieeexplore.ieee.org/document/6858851 Polynomial chaos overview: https://ieeexplore.ieee.org/document/6595094 Melanie Zeilinger: https://idsc.ethz.ch/the-institute/people/person-detail.html?persid=142737 Safe learning-based control talk: https://www.youtube.com/watch?v=cBK1CNuU66c&t=572s Control meets learning seminar series: https://sites.google.com/view/control-meets-learning/home

This episode is an ECC special, where I go on a trip to theEuropean control conference and bring you with me! Connect with me and with the podcast LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ X: https://x.com/coffee_ctrl_pod Bluesky: https://bsky.app/profile/coffee-and-control.bsky.social Instagram: https://www.instagram.com/coffee_and_control_podcast/   References (Cool people to go look up!) ECC25 web page: https://ecc25.euca-ecc.org/ Guido Carnevale: https://www.unibo.it/sitoweb/guido.carnevale/en Luca Furieri: https://www.lucafurieri.it/ René Vidal: http://vision.jhu.edu/rvidal.html Lisa Li: https://flyingpeach.github.io/ Victor Magron: https://homepages.laas.fr/vmagron/ Giacomo Como: https://www.control.lth.se/personnel-old/giacomo-como/ Venanzio Cichella (safe autonomous agents): https://engineering.uiowa.edu/directory/venanzio-cichella Maryam Kamgarpour: https://people.epfl.ch/maryam.kamgarpour?lang=en Miroslav Kristic: https://flyingv.ucsd.edu/ Iasson Karafyllis: https://semfe.ntua.gr/en/faculty-members/item/16-karafyllis Daniel Nikovski: https://www.merl.com/people/nikovski Rosane Ushirobira: https://chercheurs.lille.inria.fr/~ushirobira/ Michelle Chong: https://www.tue.nl/en/research/researchers/michelle-chong Timm Faulwasser: https://www.tuhh.de/ics/teampages/timm-faulwasser Seth Siriya: https://www.irt.uni-hannover.de/en/siriya Lorenzo Zino: https://lorenzozino90.wixsite.com/lzino François-Grégoire Bierwart (Koopman operators): https://researchportal.unamur.be/en/persons/fgbierwa Konstantin Zimenko (Finite-time stability analysis): https://dblp.org/pid/144/1527.html ABB: https://global.abb/ Massimiliano D’Angelo: https://scholar.google.com/citations?user=KrzPm2UAAAAJ&hl=it Yongduan Song (Neural network semi-plenary): https://accu.cqu.edu.cn/info/1112/3673.htm Niloufar Dabestani: https://www.trafficfluid.tuc.gr/en/people/phd-students/dabestani Antonella Ferrara: http://sisdin.unipv.it/labsisdin/people/ferant/ferant.php Maria Laura Delle Monache: https://ce.berkeley.edu/people/faculty/delle-monache Carlo Novara (MPC on quantum computers): https://www.polito.it/en/staff?p=003528 Daniel Hobson: https://www.southampton.ac.uk/people/5xp9hs/mr-daniel-hobson Stefano Stramigioli: https://people.utwente.nl/s.stramigioli Frank Allgower (Event-based control): https://www.uni-stuttgart.de/en/press/experts/Prof.-Frank-Allgoewer/

In this episode I interview Dr Mathias Foo about his fascinating research on controlling river systems, implementing control systems using DNA, and gene network rewiring. Basically applying control to a bunch of different systems that you weren’t expecting.   Connect with me and with the podcast! LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ X: https://x.com/coffee_ctrl_pod Bluesky: https://bsky.app/profile/coffee-and-control.bsky.social Instagram: https://www.instagram.com/coffee_and_control_podcast/     References Dr Mathias Foo: https://warwick.ac.uk/fac/sci/eng/people/mathias_foo/   PhD PhD thesis: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H5eLRq4AAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=H5eLRq4AAAAJ:2osOgNQ5qMEC Nadia Bedjaoui: https://www.linkedin.com/in/nadia-bedjaoui-39862110/ Observers for leak detection in irrigation channels: https://www.sciencedirect.com/science/article/abs/pii/S0967066110001498 MPC using reverse engineering paper: https://ieeexplore.ieee.org/abstract/document/6114363Maciejowski MPC book: https://www.amazon.com/Predictive-Control-Constraints-Jan-Maciejowski/dp/0201398230 Maciejowski inverse optimal control paper: https://www.sciencedirect.com/science/article/pii/S1474667015366180   DNA strand displacement reactions Oishi and Klavins paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/Oishi2011linear.pdf DNA amplifiers: https://www.science.org/doi/10.1126/science.1148532 DNA Logic gates: https://www.science.org/doi/10.1126/science.1132493 DNA Detectors: https://www.dna.caltech.edu/Papers/Nucleation_DNA10.pdf PID control using DSD reactions: https://ieeexplore.ieee.org/document/8721529 Nuno Paulino: https://scholar.google.com/citations?user=FKL-xegAAAAJ&hl=en&oi=ao DNA programmable gate arrays: https://www.nature.com/articles/s41586-023-06484-9 Theoretical DNA feedback paper: https://www.mdpi.com/2306-5354/10/4/466 DNA stability paper: https://www.sciencedirect.com/science/article/pii/S0005109820303010 SSV DNA robustness paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8619072 Gomez-Uribe covalent modification cycle paper: https://pubmed.ncbi.nlm.nih.gov/18159939/ Quasi sliding-model controller paper: https://ieeexplore.ieee.org/document/7833853 Design based on covalent modification cycle: https://link.springer.com/article/10.1186/s13036-016-0036-1 PI-degradation controllers: https://warwick.ac.uk/fac/sci/eng/staff/dgb/077972431.pdf   Gene regulatory networks Voit S-system paper: https://doi.org/10.1042/bse0450029 Modelling and control using S-system models: https://ieeexplore.ieee.org/abstract/document/8254368 Extended S-system model for restoring circadian cycles: https://www.nature.com/articles/s41540-022-00216-x Uri Alon gene regulation paper: https://www.nature.com/articles/nrg2102 Network re-wiring paper: https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00037 Reverse-engineering Hill-type models paper: https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2024.0811 2009 Cell optimisation paper: https://www.sciencedirect.com/science/article/pii/S0092867409007120 Briat antithetic integral control paper: https://www.cell.com/fulltext/S2405-4712(16)00005-3 Professor Declan Bates: https://warwick.ac.uk/fac/sci/eng/staff/dgb/ Steve Brunton: https://www.youtube.com/@Eigensteve Control bootcamp series: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085m Physics-informed machine learning series: https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBa Probability and statistics series: https://www.youtube.com/watch?v=sQqniayndb4&list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V

In this episode I interview Jonathan Mayo Maldonado about his work on applying the behavioural framework to modelling and controlling switched systems, as well as applying data-driven control to power systems!   You can engage with the podcast on BlueSky: https://bsky.app/profile/coffee-and-control.bsky.social Instagram: https://www.instagram.com/coffee_and_control_podcast/ Follow me on LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ Or email me at [email protected]   Jonathan Mayo-Maldonado: https://www.southampton.ac.uk/people/668pbh/doctor-jonathan-mayo-maldonado PhD PhD thesis: https://eprints.soton.ac.uk/383678/ Switched linear differential systems: https://arxiv.org/pdf/1303.0308 Dissipative switched linear differential systems: https://eprints.soton.ac.uk/386199/1/DissipativeSLDS-Rev5.pdf   DC-DC converters Power shaping control: https://www.researchgate.net/publication/344671509_Power_shaping_control_of_DC-DC_converters_with_constant_power_loads Paolo Rapisarda’s dissipativity paper: https://eprints.soton.ac.uk/271668/1/PublishedArticle.pdf   Lifted coordinates: https://www.researchgate.net/publication/344800256_Nonlinear_Stabilizing_Control_Design_for_DC-DC_Converters_Using_Lifted_Models Episode with Chris on Non-minimum phase ILC: https://open.spotify.com/episode/0hLqV5hv5OeQO3gOE6aU9c Direct voltage control of higher-order converters paper: https://www.researchgate.net/publication/359245867_Direct_Output-Voltage_Control_of_Non-Minimum_Phase_Higher-Order_DC-DC_Converters Enrique Garza Arias PhD thesis: https://repositorio.tec.mx/items/6dfd5498-d0d4-417c-9e33-afb75930710a     Data-driven control Active and reactive power analogy: https://www.youtube.com/watch?v=Tv_7XWf96gg Data-driven D-PMU paper: https://www.researchgate.net/publication/339887346_Data-Driven_Framework_to_Model_Identification_Event_Detection_and_Topology_Change_Location_Using_D-PMUs Voltage performance index tracking paper: https://ieeexplore.ieee.org/document/10517964   Extra questions Advice from a young scientist to younger scientists article:https://medium.com/@jonathanmayo_75536/advice-from-a-young-scientist-to-younger-scientists-74d9aaf2d2f2 Arjan van der schafft: https://www.math.rug.nl/~arjan/index.html Johann Kolar: https://pes.ee.ethz.ch/the-institute/People/prof-kolar2.html Konstantinos Gatsis: https://kgatsis.github.io/

In this episode I talk to Professor Paolo Rapisarda about a bunch of interesting theoretical (but very useful) aspects of control, including his work on behavioural systems theory, model reduction, Willems’ fundamental lemma, and data-driven control. You can find the transcript at: https://docs.google.com/document/d/1xosQlyCazjngvrydEdlSX917p84v4GY8Maljp5J8MQY/edit?usp=sharing You can engage with the podcast on X: https://x.com/coffee_ctrl_pod BlueSky: https://bsky.app/profile/coffee-and-control.bsky.social Instagram: https://www.instagram.com/coffee_and_control_podcast/ Or email me at [email protected]   Paolo Rapisarda: https://www.southampton.ac.uk/people/5x2hb9/professor-paolo-rapisarda   Introduction State maps for linear systems: https://eprints.soton.ac.uk/264646/1/State_maps.pdf Harry Trentelman: https://research.rug.nl/en/persons/harry-trentelman Jan Willems: https://homes.esat.kuleuven.be/~sistawww/smc/jwillems/ PhD thesis: https://research.rug.nl/en/publications/linear-differential-systems-2   Behavioural systems Epic Jan Willems behavioural systems paper: https://skoge.folk.ntnu.no/prost/proceedings/cpc6-jan2002/willems.pdf   State maps LTV paper:https://eprints.soton.ac.uk/457114/1/State_for_linear_discrete_time_varying_systems.pdf Leibnitz rule: https://www.cuemath.com/calculus/leibniz-rule/     Dissipativity Jan Willem’s paper: https://link.springer.com/article/10.1007/bf00276493 Jan Willem’s optimal control paper: https://ieeexplore.ieee.org/abstract/document/1099831 Quadratic differential forms: https://epubs.siam.org/doi/10.1137/S0363012996303062     Balancing Siep Weiland: https://ieeexplore.ieee.org/author/37301202100 Keith Glover: https://www.eng.cam.ac.uk/profiles/kg103 H-infinity model order reduction: https://ieeexplore.ieee.org/document/701085 1980 Moore balancing paper: https://ieeexplore.ieee.org/document/1102568 Kalman decomposition: https://en.wikipedia.org/wiki/Kalman_decomposition   Arjan van der Schaft: https://scholar.google.nl/citations?user=BIPifjAAAAAJ&hl=en Hamiltonian systems: https://www.unige.ch/~hairer/poly_geoint/week1.pdf Port Hamiltonianity:https://www.annualreviews.org/content/journals/10.1146/annurev-control-081219-092250 Jacqueline Scherpen: https://research.rug.nl/en/persons/jacqueline-scherpen Balancing of Port-Hamiltonian systems: https://research.rug.nl/files/2999949/2003ProcIFACWorkshopLHMNCLopezlena.pdf Balancing for non-linear systems: https://research.rug.nl/files/3318296/1993ProcECCScherpen.pdf     Fundamental lemma Ivan Markovski: https://scholar.google.com/citations?user=qSl_3FQAAAAJ&hl=en Continuous-time work: https://www.sciencedirect.com/science/article/pii/S016769112400238X Chebychev polynomials: https://mathworld.wolfram.com/ChebyshevPolynomialoftheFirstKind.html Kanat Camblibel: https://scholar.google.com/citations?user=aeWjKPcAAAAJ&hl=en Sufficient condition modification of Willems’s lemma: https://arxiv.org/abs/2405.18962 Experimental implementation: https://arxiv.org/abs/2407.12509   Data-driven control Data-driven ILC:https://ieeexplore.ieee.org/abstract/document/10384133 DeePC: https://arxiv.org/abs/1811.05890 Jonathan Mayo-Maldonado: https://scholar.google.co.uk/citations?user=W-vnMBwAAAAJ&hl=en   Extra questions Aizerman’s conjecture: https://en.wikipedia.org/wiki/Aizerman%27s_conjecture

In this episode I interview Professor Sabine Hauert about the super interesting work she does on the control of swarm robots, how considering nanoparticles as swarms can be used to treat cancer, and how morphogenesis can generate structure from random interactions.   You can follow us on Instagram (https://www.instagram.com/coffee_and_control_podcast/),BlueSky (https://bsky.app/profile/coffee-and-control.bsky.social) and X(https://x.com/coffee_ctrl_pod)for updates on episodes! You can also connect with or follow me on LinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/ References Sabine: https://hauertlab.com/ Podcasts/ TEDx talks https://www.youtube.com/watch?v=sn1gmcs-HXU https://www.youtube.com/watch?v=NBbYuzhxpE0 http://youtube.com/watch?v=vvknnV6325Q   Robot Talk: https://open.spotify.com/episode/0JWPnKQmwTQdM1K7247jkq Complexity: https://open.spotify.com/episode/6nfcUpB3wesHqXP5XzSPAl Engenius: https://open.spotify.com/episode/34jert4EQGBVrQBfS4OfxW   Research Invertebrate inspiration review paper: https://iopscience.iop.org/article/10.1088/1748-3190/acc223/meta Centipede control inspiration: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0171421 David Garzon-Ramos: https://dgarzonramos.com/ Puzzle/ Problem/mess paper: https://arxiv.org/abs/2410.22478 Dario Floriano: https://people.epfl.ch/dario.floreano?lang=en Manuela Veloso: https://engineering.cmu.edu/directory/bios/veloso-manuela.html   PhD PhD thesis: https://infoscience.epfl.ch/entities/publication/dbb9fe40-930c-4e54-a5c0-10b62ebb6d1cRobot swarm video: https://www.youtube.com/watch?v=n_qRuHkD5lc Onboard evolution of swarm behaviours: https://advanced.onlinelibrary.wiley.com/doi/pdf/10.1002/aisy.201900031 Supervisory control papers: https://research-information.bris.ac.uk/files/229980063/Paper_SWARM2019.pdf MAP-elites algorithm: https://link.springer.com/chapter/10.1007/978-3-319-77538-8_49   Morphogenesis James Sharpe: https://www.embl.org/people/person/james-sharpe/ Original paper: https://www.science.org/doi/full/10.1126/scirobotics.aau9178 Controllability of morphogenesis: https://research-information.bris.ac.uk/en/publications/toward-controllable-morphogenesis-in-large-robot-swarms Controllability in control theory: https://en.wikipedia.org/wiki/Controllability Steve Brunton controllability Gramian video: https://www.youtube.com/watch?v=ZNHx62HbKNA Alan Turing reaction diffusion paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/turing.pdf   Nanoswarms Sangita Bhatia: https://ki.mit.edu/people/faculty/sangeeta-bhatia Nanoswarm papers: https://pmc.ncbi.nlm.nih.gov/articles/PMC4295824/ John Ives: https://www.bristol.ac.uk/people/person/Jonathan-Ives-fa38de81-8d34-4978-a99d-1f55efe2e0f4/ Matimba Swana: https://research-information.bris.ac.uk/en/persons/matimba-c-swana   Outreach AIhub.org: https://aihub.org/ Robohub.org: https://robohub.org/ Drones for 3D printing buildings: https://robohub.org/five-ways-drones-will-change-the-way-buildings-are-designed/ AI environmental impact: https://aihub.org/2025/02/06/explained-generative-ais-environmental-impact/ AI for drug development: https://aihub.org/2025/01/09/will-ai-revolutionize-drug-development-researchers-explain-why-it-depends-on-how-its-used/   Extra questions Radhika Nagpal: https://www.radhikanagpal.org/ Dot robots: https://arxiv.org/pdf/2203.13809