Épisodes

  • Alberto Padoan: Part 1 (Moments of Systems and Model Reduction)
    Sep 1 2025
    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/IRMql9Follow 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/ReferencesinControl 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.pdfAlessandro Astolfi: https://profiles.imperial.ac.uk/a.astolfiSandro Zampieri: https://automatica.dei.unipd.it/old/people/zampieri.htmlinControl guide to Controllability and Observability: https://CoffeeControlLinks.short.gy/haKTheStieltjes: https://en.wikipedia.org/wiki/Thomas_Joannes_Stieltjes PhD thesis: https://CoffeeControlLinks.short.gy/sImTiqKeith Glover: https://www.eng.cam.ac.uk/profiles/kg103Coffee and Control episode with Paolo Rapisarda: https://open.spotify.com/episode/076dEw28abILPAbT5qA6awThesis on Krylov projectors for model reduction: https://perso.uclouvain.be/paul.vandooren/ThesisGrimme.pdfSylvester equations and model reduction: https://www.sciencedirect.com/science/article/pii/S0377042703007143Book on Sylvester equations: https://CoffeeControlLinks.short.gy/e7nYSQJacqueline Scherpen: https://www.rug.nl/staff/j.m.a.scherpen/cv?lang=enAlberto Isidori: https://www.diag.uniroma1.it/isidori/Murray Wonham book: https://link.springer.com/book/10.1007/978-1-4612-1082-5Basile and Marro book: https://CoffeeControlLinks.short.gy/gE3KxH Eigenvalues/ poles of nonlinear systems: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8264032Books on creativity:Ernest Hemmingway quotes: https://www.goodreads.com/author/quotes/1455.Ernest_HemingwayDynamics 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=8264369Moments of random variables: https://ieeexplore.ieee.org/abstract/document/8637762Klein bottle videos:https://www.youtube.com/watch?v=AAsICMPwGPYhttps://www.youtube.com/watch?v=-k3mVnRlQLUDistributions: https://en.wikipedia.org/wiki/Distribution_(differential_geometry)https://webspace.science.uu.nl/~ban00101/anman2009/lecture2.pdfhttp://staff.ustc.edu.cn/~wangzuoq/Courses/18F-Manifolds/Notes/Lec15.pdfAndrás Sasfi: https://control.ee.ethz.ch/people/profile.andras-sasfi.htmlModel reduction of dominant systems: https://www.sciencedirect.com/science/article/pii/S0005109821002156Rodolphe 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/9764708Fulvio Forni: https://www.eng.cam.ac.uk/profiles/ff286Goldbeter 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/S2405896319318671Early papers on dominance: https://arxiv.org/abs/1709.06155 https://arxiv.org/abs/1710.01721Intro to Nyquist diagrams: https://www.youtube.com/watch?v=sof3meN96MA John Doyle:(inControl interviews) https://CoffeeControlLinks.short.gy/BTj37khttps://CoffeeControlLinks.short.gy/k0PXanGioele Zardini: https://gioele.science/Alberto San Giovanni Vincentelli: https://www2.eecs.berkeley.edu/Faculty/Homepages/sangiovanni-vicentelli.html(inControl interviews)https://CoffeeControlLinks.short.gy/9fYOiBhttps://CoffeeControlLinks.short.gy/ehkaV9
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    1 h
  • Ying Shuai Quan (Model Predictive Control and Autonomous Driving)
    Aug 1 2025
    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=sharingFollow 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 moreYing’s thesis: https://repository.hanyang.ac.kr/handle/20.500.11754/188296Tube-based adaptive cruise control paper: https://ieeexplore.ieee.org/document/9992382Motion sickness patents: (general system) https://patents.google.com/patent/US20250115255A1/en(control and estimation) https://patents.google.com/patent/US20250128715A1/enTutorial on IQCs: https://www.scopus.com/pages/publications/84979771505Classic LMI book: https://web.stanford.edu/~boyd/lmibook/lmibook.pdfLMIs in control book chapter: https://link.springer.com/chapter/10.1007/978-1-84800-025-4_4Steve Brunton MPC video: https://www.youtube.com/watch?v=YwodGM2eoy4&t=1sGreat review/ tutorial paper on MPC: https://link.springer.com/article/10.1007/s00170-021-07682-3Review on linear fractional transformations: https://ieeexplore.ieee.org/document/261572Ying’s control-barrier functions paper: https://ieeexplore.ieee.org/document/10130631Tutorial paper on CBFs: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10836828Review on control barrier functions: https://ieeexplore.ieee.org/abstract/document/10836828Using CBFs in MPC: https://arxiv.org/abs/2502.08400Control Lyapunov-barrier function-based MPC: https://ieeexplore.ieee.org/document/8431468High-order CBFs: https://ieeexplore.ieee.org/document/9516971Neural network lane-keeping paper: https://ieeexplore.ieee.org/document/8859955Robust stability of NN-based LKS: https://ieeexplore.ieee.org/abstract/document/10644841Matt Turner episode: https://open.spotify.com/episode/5KLLOvbCjOkL0v8iXo84vtTranscript: https://docs.google.com/document/d/1r41Lcpv4MtxnqfMn8ZFfnAqiK5rlfcPZ19NQhfeqaFI/edit?usp=sharingMultiple 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/84947032651Min-max MPC for non-linear systems: https://www.sciencedirect.com/science/article/pii/S0947358009707034PCA: https://www.geeksforgeeks.org/data-analysis/principal-component-analysis-pca/LPV gain-scheduling control with parameter reduction: https://ieeexplore.ieee.org/document/9830128Safe 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/S1367578816300098Stochastic MPC review: https://ieeexplore.ieee.org/document/7740982Polynomial chaos in non-linear stochastic MPC: https://ieeexplore.ieee.org/document/6858851Polynomial chaos overview: https://ieeexplore.ieee.org/document/6595094Melanie Zeilinger: https://idsc.ethz.ch/the-institute/people/person-detail.html?persid=142737Safe learning-based control talk: https://www.youtube.com/watch?v=cBK1CNuU66c&t=572sControl meets learning seminar series: https://sites.google.com/view/control-meets-learning/home
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    1 h
  • ECC Special (European Control Conference 2025)
    Jul 1 2025
    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 podcastLinkedIn: https://www.linkedin.com/in/lucy-hodgins-733a30175/X: https://x.com/coffee_ctrl_podBluesky: https://bsky.app/profile/coffee-and-control.bsky.socialInstagram: 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/enLuca Furieri: https://www.lucafurieri.it/René Vidal: http://vision.jhu.edu/rvidal.htmlLisa 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-cichellaMaryam Kamgarpour: https://people.epfl.ch/maryam.kamgarpour?lang=enMiroslav Kristic: https://flyingv.ucsd.edu/Iasson Karafyllis: https://semfe.ntua.gr/en/faculty-members/item/16-karafyllisDaniel Nikovski: https://www.merl.com/people/nikovskiRosane Ushirobira: https://chercheurs.lille.inria.fr/~ushirobira/Michelle Chong: https://www.tue.nl/en/research/researchers/michelle-chongTimm Faulwasser: https://www.tuhh.de/ics/teampages/timm-faulwasserSeth Siriya: https://www.irt.uni-hannover.de/en/siriyaLorenzo Zino: https://lorenzozino90.wixsite.com/lzinoFrançois-Grégoire Bierwart (Koopman operators): https://researchportal.unamur.be/en/persons/fgbierwaKonstantin Zimenko (Finite-time stability analysis): https://dblp.org/pid/144/1527.htmlABB: https://global.abb/ Massimiliano D’Angelo: https://scholar.google.com/citations?user=KrzPm2UAAAAJ&hl=itYongduan Song (Neural network semi-plenary): https://accu.cqu.edu.cn/info/1112/3673.htmNiloufar Dabestani: https://www.trafficfluid.tuc.gr/en/people/phd-students/dabestaniAntonella Ferrara: http://sisdin.unipv.it/labsisdin/people/ferant/ferant.phpMaria Laura Delle Monache: https://ce.berkeley.edu/people/faculty/delle-monacheCarlo Novara (MPC on quantum computers): https://www.polito.it/en/staff?p=003528Daniel Hobson: https://www.southampton.ac.uk/people/5xp9hs/mr-daniel-hobsonStefano Stramigioli: https://people.utwente.nl/s.stramigioliFrank Allgower (Event-based control): https://www.uni-stuttgart.de/en/press/experts/Prof.-Frank-Allgoewer/
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    56 min
  • Mathias Foo (River systems and biochemical control)
    Jun 1 2025
    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_podBluesky: https://bsky.app/profile/coffee-and-control.bsky.socialInstagram: https://www.instagram.com/coffee_and_control_podcast/ ReferencesDr Mathias Foo: https://warwick.ac.uk/fac/sci/eng/people/mathias_foo/ PhDPhD thesis: https://scholar.google.com/citations?view_op=view_citation&hl=en&user=H5eLRq4AAAAJ&cstart=20&pagesize=80&sortby=pubdate&citation_for_view=H5eLRq4AAAAJ:2osOgNQ5qMECNadia Bedjaoui: https://www.linkedin.com/in/nadia-bedjaoui-39862110/Observers for leak detection in irrigation channels: https://www.sciencedirect.com/science/article/abs/pii/S0967066110001498MPC using reverse engineering paper: https://ieeexplore.ieee.org/abstract/document/6114363Maciejowski MPC book: https://www.amazon.com/Predictive-Control-Constraints-Jan-Maciejowski/dp/0201398230Maciejowski inverse optimal control paper: https://www.sciencedirect.com/science/article/pii/S1474667015366180 DNA strand displacement reactionsOishi and Klavins paper: https://www.dna.caltech.edu/courses/cs191/paperscs191/Oishi2011linear.pdfDNA amplifiers: https://www.science.org/doi/10.1126/science.1148532DNA Logic gates: https://www.science.org/doi/10.1126/science.1132493DNA Detectors: https://www.dna.caltech.edu/Papers/Nucleation_DNA10.pdfPID control using DSD reactions: https://ieeexplore.ieee.org/document/8721529Nuno Paulino: https://scholar.google.com/citations?user=FKL-xegAAAAJ&hl=en&oi=aoDNA programmable gate arrays: https://www.nature.com/articles/s41586-023-06484-9Theoretical DNA feedback paper: https://www.mdpi.com/2306-5354/10/4/466DNA stability paper: https://www.sciencedirect.com/science/article/pii/S0005109820303010SSV DNA robustness paper: https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8619072Gomez-Uribe covalent modification cycle paper: https://pubmed.ncbi.nlm.nih.gov/18159939/Quasi sliding-model controller paper: https://ieeexplore.ieee.org/document/7833853Design based on covalent modification cycle: https://link.springer.com/article/10.1186/s13036-016-0036-1PI-degradation controllers: https://warwick.ac.uk/fac/sci/eng/staff/dgb/077972431.pdf Gene regulatory networksVoit S-system paper: https://doi.org/10.1042/bse0450029Modelling and control using S-system models: https://ieeexplore.ieee.org/abstract/document/8254368Extended S-system model for restoring circadian cycles: https://www.nature.com/articles/s41540-022-00216-xUri Alon gene regulation paper: https://www.nature.com/articles/nrg2102Network re-wiring paper: https://pubs.acs.org/doi/full/10.1021/acssynbio.8b00037Reverse-engineering Hill-type models paper: https://royalsocietypublishing.org/doi/abs/10.1098/rsif.2024.08112009 Cell optimisation paper: https://www.sciencedirect.com/science/article/pii/S0092867409007120Briat antithetic integral control paper: https://www.cell.com/fulltext/S2405-4712(16)00005-3Professor Declan Bates: https://warwick.ac.uk/fac/sci/eng/staff/dgb/Steve Brunton: https://www.youtube.com/@EigensteveControl bootcamp series: https://www.youtube.com/watch?v=Pi7l8mMjYVE&list=PLMrJAkhIeNNR20Mz-VpzgfQs5zrYi085mPhysics-informed machine learning series: https://www.youtube.com/watch?v=JoFW2uSd3Uo&list=PLMrJAkhIeNNQ0BaKuBKY43k4xMo6NSbBaProbability and statistics series: https://www.youtube.com/watch?v=sQqniayndb4&list=PLMrJAkhIeNNR3sNYvfgiKgcStwuPSts9V
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    1 h et 10 min
  • Jonathan Mayo-Maldonado (Switched systems and DC networks)
    May 1 2025

    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 lhodginscontrol@gmail.com

    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/

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    1 h et 9 min
  • Paolo Rapisarda (Behavioural systems and Willems' fundamental lemma)
    Apr 1 2025

    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 lhodginscontrol@gmail.com

    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


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    1 h
  • Sabine Hauert (Swarm robotics and artificial evolution)
    Mar 1 2025

    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-a5c0-10b62ebb6d1c
    Robot 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

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    55 min
  • William Holderbaum (Geometric control and electroactive matter)
    Feb 2 2025
    In this episode, I talk to Professor William Holderbaum about some of the many fascinating areas of research he’s involved in, including Boolean control, geometric control, and control of electroactive polymer gels—plus a lot more! Follow us for updates on new episodes: Instagram BlueSky X (Twitter) PhD research PhD Thesis (in French)Boolean Control Using State-Space ApproachNeural Networks for Boolean ControlPID Control of Boolean SystemsPredictive ControlSliding Mode Control FES work Coffee and Control Episode with Chris FreemanProfessor Ken HuntFES for Paraplegic StandingAdaptive PIDSliding Mode Control FES muscle fatigue papers Chapter 5 of this ThesisPubMed Paper 1PubMed Paper 2IEEE Explore PaperFatigue reduction with soft robotics Geometric control Resources for Understanding Geometric ControlLecture SlidesYouTube Video6D Lie GroupsApplication to SpacecraftTime-Parameterized Motion Planning Control of RTG cranes Optimal Control and MPCFuzzy Logic Control Electroactive polymer gels Paper 1Paper 2Springer Chapter Model-Based Control of Soft RobotsArm with Self-Control Feedback Loop
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    55 min