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Toru
144 posts
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Toru
@ToruO_O
mts @Amazon Frontier AI & Robotics prev: ai phd @UCBerkeley & researcher @meta @NVIDIA, cs undergrad @MIT, utokyo dropout 🌈 she/her/hers I like capybaras :D
toruowo.github.io
Joined October 2020
328
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  • Pinned
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    Toru
    @ToruO_O
    Mar 4
    Peeling a potato is trivial -- until you try to make a robot do it with a knife. This is actually one of the hardest problems in manipulation: contact-rich, force-sensitive, and success is subjective. We taught a robot arm to peel with >90% success :D toruowo.github.io/peel
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    Toru
    @ToruO_O
    Feb 28, 2025
    Sim2Real RL for Vision-Based Dexterous Manipulation on Humanoids toruowo.github.io/recipe/ TLDR - we train a humanoid robot with two multifingered hands to perform a range of dexterous manipulation tasks robust generalization and high performance without human demonstration :D
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    Toru
    @ToruO_O
    Apr 26, 2024
    Imitation learning worksā„¢ – but you need good data 🄹 How to get high-quality visuotactile demos from a bimanual robot with multifingered hands, and learn smooth policies? Check our new work ā€œLearning Visuotactile Skills with Two Multifingered Handsā€! šŸ™Œ toruowo.github.io/hato/
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    Toru
    @ToruO_O
    Mar 5, 2024
    Achieving bimanual dexterity with RL + Sim2Real! toruowo.github.io/bimanual-twist/ TLDR - We train two robot hands to twist bottle lids using deep RL followed by sim-to-real. A single policy trained with simple simulated bottles can generalize to drastically different real-world objects.
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    Toru
    @ToruO_O
    Apr 5, 2023
    It’s year 2023 and PPO is still going strong šŸ™‚ open-sourcing a simple & performant PPO that trains Cartpole in <1m (with IsaacGym) github.com/ToruOwO/minima… same power as IsaacGymEnvs' default but everything in 4 files / under 1k lines of code
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    GitHub - ToruOwO/minimal-stable-PPO: A minimal and stable PPO.
    From github.com
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    Toru
    @ToruO_O
    May 24, 2024
    A common question we get for HATO (toruowo.github.io/hato) is: can it be more dexterous? Yes! The first iteration of our system actually achieves this -- by capturing finger poses with mocap gloves and remapping them to robot hands. [video taken in late 2023 (with @YuZhang)]
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    Toru
    @ToruO_O
    Oct 31, 2023
    A fun side project from a while back : D Idea: teleop a dexterous hand with $5 flex sensors could be improved via better sensors, exoskeleton structures, etc... not following up but if anyone's interested, happy to share details & help! (with @brenthyi & Ting-Hao Wang)
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    Toru
    @ToruO_O
    Jan 6, 2025
    A great pleasure working with @JitendraMalikCV on the course! I'm always inspired by Jitendra's genuine passion for staying at the cutting edge of developments, and the abilities to new learn things so fast!! Highly recommend this unique and fun robotics course to everyone!!!
    user avatar
    Jitendra MALIK
    @JitendraMalikCV
    Jan 6, 2025
    I'm happy to post course materials for my class at UC Berkeley "Robots that Learn", taught with the outstanding assistance of @ToruO_O. Lecture videos at youtube.com/playlist?list=… Lecture notes & other course materials at robots-that-learn.github.io
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    Toru
    @ToruO_O
    Sep 23, 2023
    Update -- to appear in NeurIPS 2023 : D TL;DR - a simple, general, flexible framework for novelty-based RL exploration "MIMEx: Masked Input Modeling for Exploration" arxiv: arxiv.org/abs/2305.08932 code: github.com/ToruOwO/mimex w/ @ajabri [a rare two-author & student-only work]
    user avatar
    Toru
    @ToruO_O
    May 17, 2023
    New work! 🧵=> In RL (and perhaps in life), exploration is about maximizing one's knowledge of the environment so as to act more optimally in the long run. It is the *only* way through which an agent can learn to improve upon itself from scratch, and thus of central importance.
    arXiv logo
    arxiv.org
    MIMEx: Intrinsic Rewards from Masked Input Modeling
    Exploring in environments with high-dimensional observations is hard. One promising approach for exploration is to use intrinsic rewards, which often boils down to estimating "novelty" of states,...
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    Toru
    @ToruO_O
    Mar 21, 2025
    Thanks for inviting -- it was great fun chatting with Mike & Chris! And lowkey announcement - the code for our last sim-to-real RL work has been released, feel free to check it out and see how it can help with your next project ;)))
    user avatar
    RoboPapers
    @RoboPapers
    Mar 20, 2025
    Ep3 with @ToruO_O on toruowo.github.io/recipe/ (Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids). Co-hosted by @chris_j_paxton & @micoolcho
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    GitHub - ToruOwO/twisting-lids: Twisting Lids Off with Two Hands [CoRL 2024]
    From github.com
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    Toru
    @ToruO_O
    May 17, 2023
    New work! 🧵=> In RL (and perhaps in life), exploration is about maximizing one's knowledge of the environment so as to act more optimally in the long run. It is the *only* way through which an agent can learn to improve upon itself from scratch, and thus of central importance.
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    Toru
    @ToruO_O
    May 7, 2025
    Really excited about the amazing speaker lineup! Come join our workshop on June 25th this year ✨
    user avatar
    Youngwoon Lee
    @YoungwoonLee
    May 6, 2025
    #RSS2025 Workshop on Whole-Body Control & Bimanual Manipulation: Applications in Humanoids & Beyond šŸ¤– Join us with our amazing lineup of speakers from academia & industry! Share your latest work by May 23 wcbm-workshop.github.io @RoboticsSciSys
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    Toru
    @ToruO_O
    Feb 28, 2025
    kind of funny that X flagged one of my humanoid videos as adult content... well I have to say it's a bare robot indeed🤣 @elonmusk ?
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    Toru
    @ToruO_O
    Jul 31, 2023
    Weekly research progress: didn't train any neural network but I proudly present this beautiful camera mount
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