Spencer M. Richards (@spenMrich) - Twitter Profili

Spencer M. Richards retweetledi

Masha Itkina@MashaItkina·16 Ara

Thanks to everyone who came to my talk today and for all the questions! If you want to hear my thoughts on whether scale is enough for robot deployment, come by the debate in room B2 at 4:15 pm CST!

Masha Itkina@MashaItkina

Excited to talk about robot generalization on Saturday at 08:20 - 08:45 am at the 6th Robot Learning Workshop. If you are @NeurIPSConf for the next few days, reach out and I am happy to chat/catch up!

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Spencer M. Richards retweetledi

Masha Itkina@MashaItkina·14 Ara

Excited to talk about robot generalization on Saturday at 08:20 - 08:45 am at the 6th Robot Learning Workshop. If you are @NeurIPSConf for the next few days, reach out and I am happy to chat/catch up!

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Spencer M. Richards@spenMrich·28 Tem

I’ll be at poster 707 in a few minutes, and at Oral C2 later around 4:12pm HST!

Spencer M. Richards@spenMrich

Excited to present "Learning Control-Oriented Dynamical Structure from Data" next week at #ICML2023! We enforce factorized structure in learned dynamics models to enable performant nonlinear control. Paper: arxiv.org/abs/2302.02529 Code (w/ #JAX): github.com/spenrich/Learn…

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Massachusetts Institute of Technology (MIT)@MIT·27 Tem

A new machine-learning technique can efficiently learn to control a robot, leading to better performance. Using this method, “we’re able to naturally create controllers that function much more effectively in the real world,” Navid Azizan says. mitsha.re/QK9p50PmHxG

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Spencer M. Richards@spenMrich·19 Tem

If you're around at #ICML2023 next week on Thursday, drop by to chat! I'll be at a poster and giving an oral presentation later! ICML schedule: icml.cc/virtual/2023/o…

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Spencer M. Richards@spenMrich·19 Tem

Excited to present "Learning Control-Oriented Dynamical Structure from Data" next week at #ICML2023! We enforce factorized structure in learned dynamics models to enable performant nonlinear control. Paper: arxiv.org/abs/2302.02529 Code (w/ #JAX): github.com/spenrich/Learn…

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Spencer M. Richards@spenMrich·19 Tem

A huge thanks to all co-authors! - J.-J. Slotine and @NavidAzizan at @MIT - @drmapavone at @StanfordEng / @StanfordASL

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Daniele Gammelli@DanieleGammelli·4 Nis

Exciting first day co-teaching @drmapavone’s AA203: Optimal and Learning-Based Control, with @spenMrich at @StanfordEng! Interested in the intersections between optimal control and RL? Look no further, all course materials will be available at: stanfordasl.github.io/aa203/

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Spencer M. Richards retweetledi

Rohan Sinha@RohanSinhaSU·30 Ara

Out-of-distribution inputs derail predictions of ML models. How can we cope with OOD data in robotics? How do we even define what makes data OOD? We provide a perspective paper arguing a system-level view of OOD data in robotics! 🧵 (1/5) Now on Arxiv: arxiv.org/abs/2212.14020

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Spencer M. Richards retweetledi

Masha Itkina@MashaItkina·16 Ara

Excited to present our work with @aiprof_mykel on "Interpretable Self-Aware Neural Networks for Robust Trajectory Prediction" @corl_conf! Come by our poster (paper #54) at Poster Session 4, 4:05-5:20 pm NZDT tomorrow! Paper: arxiv.org/pdf/2211.08701… Code: github.com/sisl/Interpret…

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Spencer M. Richards retweetledi

Masha Itkina@MashaItkina·7 Ara

So excited to hold our 5th Robot Learning Workshop @NeurIPSConf this year on Trusworthy Robotics on Dec. 9th!

Nathan Lambert@natolambert

What's the best part of virtual workshops at #NeurIPs2022? Engaging with a huge variety of top researchers without the overwhelming venue. Video optional, no stress, high insight. Here's where you can learn with the best at the Robot Learning workshop on Trustworthiness. 🧵

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Spencer M. Richards retweetledi

James Harrison@jmes_harrison·5 Ara

New on arXiv: we present a learning control approach capable of safe and efficient online adaptation. Our approach combines elements of classical adaptive control, modern robust MPC, and Bayesian meta-learning to yield guaranteed-safe online adaptation! arxiv.org/abs/2212.01371 🧵

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Spencer M. Richards retweetledi

Masha Itkina@MashaItkina·8 Şub

Thank you to everyone who attended my successful PhD defense yesterday on "Uncertainty-Aware Spatiotemporal Perception for Autonomous Vehicles"! The recording is now up on YouTube: youtu.be/Ou3Oi07sc70

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Spencer M. Richards@spenMrich·15 Tem

Happening now!

Spencer M. Richards@spenMrich

Can we learn dynamics model features offline for better online adaptation? Check out Adaptive-Control-Oriented Meta-Learning at #RSS2021 (Tues. and Thurs.)! roboticsconference.org/program/papers… w/ @NavidAzizan, J.-J. Slotine, and @MarcoPavoneSU Code (w/ #JAX): git.io/JqkQ4

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Spencer M. Richards@spenMrich·12 Tem

Can we learn dynamics model features offline for better online adaptation? Check out Adaptive-Control-Oriented Meta-Learning at #RSS2021 (Tues. and Thurs.)! roboticsconference.org/program/papers… w/ @NavidAzizan, J.-J. Slotine, and @MarcoPavoneSU Code (w/ #JAX): git.io/JqkQ4

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