flight GNC @flight_gnc
Joined March 2021-
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It was an absolute pleasure to give a talk at the Computing and Sustainability Seminar, hosted by MIT's Laboratory for Information and Decision Systems (LIDS). I talked about the potential of Scientific Machine Learning for integrated and scalable modeling, optimization, and…
✨🌆 Tomorrow I’ll be in NYC giving a seminar at @nyutandon, hosted by Benjamin Rivière and Yuki Miura. luma.com/ck3z9hct If you’re around, come say hi—I’d love to connect! 🚀
Simply outstanding. One of the most remarkable things I've seen this year. Please visit the project page and prepare to be amazed. I always suspected video models (which can also be easily controlled as shown by Genie) were the basis for significant robotics advances. Now I'm…
Simply outstanding. One of the most remarkable things I've seen this year. Please visit the project page and prepare to be amazed. I always suspected video models (which can also be easily controlled as shown by Genie) were the basis for significant robotics advances. Now I'm…
New Encyclopedia of Systems and Control Engineering is out sciencedirect.com/referencework/… now available online. If interested in my article, you can download it from arxiv.org/pdf/2501.01071… or reach out to me for authors edition for personal use.
I’ll be at CoRL & Humanoids 2025 in Seoul! At CoRL, I’ll present DEQ-MPC, a novel differentiable model-predictive control framework (schedule below). Also excited to chat about my experience helping build multiple AI-powered humanoids in just a few months. Let’s connect!
Join us for the next Robust Optimization Webinar (ROW) this Friday, October 3, at 17:00 (CET) (please note the changed time). Speaker: @paulgrigas (University of California, Berkeley) Title: Parametric Optimization Beyond Discretization
📢‼️The OJ-CSYS "Intersection of Machine Learning with Control" special section is now open! Special Guest Editor: Insoon Yang, Seoul National University, South Korea More info: ojcsys.github.io/pages/ss-machi… Submit: css.paperplaza.net/journals/ojcs/… #controlsystems #machinelearning #ojcsys
I'm super excited to announce mjlab today! mjlab = Isaac Lab's APIs + best-in-class MuJoCo physics + massively parallel GPU acceleration Built directly on MuJoCo Warp with the abstractions you love.
Preprints of ALL chapters of "Markov Decision Processes and Reinforcement Learning" by Puterman and Chan are now posted at github.com/martyput/MDP_b…. All feedback and typos are greatly appreciated and will impact the final version - links will be removed upon publication.
For all Koopmanistas, the talks from the KOT II conference are now online! Thanks to @ErvinKamenar for the organization and Marko Kozlov for his excellent work on the recordings. You can find all the talks on the YouTube Playlist: youtube.com/@KOTForum/play… #KoopmaOperator…
Meet mjlab. Powered by MuJoCo Warp. Drops Monday.
Chapters 1-7 of our forthcoming book “Markov Decision Processes and Reinforcement Learning” by Puterman and Chan are now available for downloading at github.com/martyput/MDP_b…. They cover model foundations, and MDPs. Please call our attention to any comments and/or typos ASAP.
NeuroMANCER v1.5.6 is out! We have four new examples: 1, Learning neural differential algebraic equations via the operator splitting method paper: arxiv.org/abs/2403.12938 2, Learning mixed-integer neural policies via differentiable predictive control (DPC) paper:…
👉 Our work “Contact-Aware Safety in Soft Robots Using High-Order Control Barrier and Lyapunov Functions” just got accepted to IEEE RA-L 🎉🤖 arxiv.org/abs/2505.03841 ⚡ Soft robots can now embrace contact safely — ensuring provably safe forces while achieving high task accuracy.
Mark November 8th on your calendars: 45 days to go to get your submissions ready for #L4DC2026!
It's almost time for #CoRL 2025! A reminder that we're hosting the Data in Robotics workshop this Saturday Sept 27th. We have a packed schedule and are also attempting to livestream the event for those who can't attend in person.
A very clear and interesting talk (includes some cybernetics, but draws on many ideas) accompanying this book youtu.be/gs38tMxZseA
A very clear and interesting talk (includes some cybernetics, but draws on many ideas) accompanying this book youtu.be/gs38tMxZseA
Check out the new #researchPaper in MDPI's Aerospace ✍️by Lorenzo Capra, Andrea Brandonisio, and Michèle Lavagna, 🚀presenting a novel approach to spacecraft proximity operations based on Reinforced Model Predictive Guidance and Control @ASTRAteamPoliMi 👉doi.org/10.3390/aerosp…
@djkesu1 @AIatMeta Here is an additional reading list for reading about world models for robotics: - Wu, et al., 2022. [DayDreamer: World Models for Physical Robot Learning](arxiv.org/pdf/2206.14176). - Feng, et. al., 2023. [Finetuning Offline World Models in the Real…
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