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Dexterous hand data collection made easy! Cut down the data collection time per demonstration from 20s to 7s🤗
Dexterous hand data collection made easy! Cut down the data collection time per demonstration from 20s to 7s🤗
Robot learning in the real world can be expensive and unsafe in human-centric environments. Solution: Construct simulation on the fly and train in it! Excited to share RialTo, led by @marceltornev on learning resilient policies via real-to-sim-to-real policy learning! A 🧵 (1/12)
Imitation learning makes it easy to learn a robot controller. But such controllers are typically not robust with a limited number of demonstrations. Check out our latest work on how to improve the robustness of imitation learning policies via a Real-to-Sim-to-Real framework!
Imitation learning makes it easy to learn a robot controller. But such controllers are typically not robust with a limited number of demonstrations. Check out our latest work on how to improve the robustness of imitation learning policies via a Real-to-Sim-to-Real framework!
Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: expressive-humanoid.github.io See how our robot performs rich, diverse,…
Teleoperation doesn't need to be cumbersome or expensive. Kudos to the impressive work from @chichengcc
Teleoperation doesn't need to be cumbersome or expensive. Kudos to the impressive work from @chichengcc
A #NeuralNetwork can direct armed robots to pick up and reorient replicas of objects, including a coffee mug, a tea pot, a truck, a duck, an elephant, and a cow. @taochenshh @pulkitology @MIT_CSAIL Learn more in Science #Robotics: scim.ag/4VF
🤖How far are we from 𝐠𝐞𝐧𝐞𝐫𝐚𝐥𝐢𝐬𝐭 𝐫𝐨𝐛𝐨𝐭𝐬? 𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐢𝐧𝐠 the 1st Workshop on "Towards Generalist Robots" at #CoRL2023! Join us to discuss how to scale up robotic skill learning, with an amazing lineup of speakers! CfP: generalist-robots.github.io Details 👇
If you are around the venue today, feel free to drop by our poster (Ballroom B, 12:15 pm) and chat about how learning: ⏲️Enables real-time feedback control in the physical world 🫳Learns state-of-the-art dexterous manipulation policies 🍀Reduces sensor/hardware requirements
If you are around the venue today, feel free to drop by our poster (Ballroom B, 12:15 pm) and chat about how learning: ⏲️Enables real-time feedback control in the physical world 🫳Learns state-of-the-art dexterous manipulation policies 🍀Reduces sensor/hardware requirements
Jim Fan @DrJimFan
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44 Followers 250 Following MS in ECE @UCSD, Focus on Reinforcement Learning & Robotics ResearchMahdi Edraki @MahdiarEdraki
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29 Followers 148 Following Master's Student - Technion | Reinforcement LearningWynter Hoheisel @hohei_wynte
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4 Followers 82 Following Undergradutate Student at Nanjing University Interested in Robotics and Reinforcement LearningMeta @MetaMeowMeow
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14 Followers 28 Following PhD student in Computer Science at Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua UniversityMassRobotics @MassRobotics
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310K Followers 3K Following AI research paper tweets, ML @Gradio (acq. by @HuggingFace 🤗) dm for promo follow on Hugging Face: https://t.co/q2Qoey80GxJim Fan @DrJimFan
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711K Followers 719 Following Professor at NYU. Chief AI Scientist at Meta. Researcher in AI, Machine Learning, Robotics, etc. ACM Turing Award Laureate.Andrej Karpathy @karpathy
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11K Followers 955 Following Assistant Professor @UCSDJacobs Postdoc @berkeley_ai PhD @CMU_RoboticsAnimesh Garg @animesh_garg
21K Followers 1K Following Foundation Models for Generalizable Autonomy. Assistant Professor in AI Robotics @GeorgiaTech + @NvidiaAI. prev @Stanford @berkeley_ai @UofTCompSciChris Paxton @chris_j_paxton
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16K Followers 316 Following I study topics in AI (machine learning, robotics & computer vision).Vikash Kumar ✈️IC.. @Vikashplus
4K Followers 407 Following Studying intelligent embodied behaviors. Ad. Prof. @CMU_Robotic | Sr. research scientist at @AIatMeta @GoogleAI @OpenAI | @berkeley_ai @UWcse #MuJoCoShane Gu @shaneguML
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15K Followers 464 Following Assistant Professor @UTCompSci | Co-Leading GEAR @NVIDIAAI | CS PhD @Stanford | Building generalist robot autonomy in the wild | Opinions are my ownFrank Dellaert @fdellaert
11K Followers 1K Following CTO at Verdant Robotics, Robotics & Computer Vision Professor at Georgia Tech (on leave). Before: sabbatical at KUL, stints at Skydio, Facebook B*8, Google AI.MIT CSAIL @MIT_CSAIL
298K Followers 22K Following MIT's Computer Science & Artificial Intelligence Laboratory (CSAIL). Media Inquiries: [email protected]Stephanie Zhan @stephzhan
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493 Followers 264 Following DexHand is the ultimate research tool for physical dexterous manipulation tasks requiring human-like dexterity. Now in Beta! Posts by @trentshumayEric Cousineau @eacousineau
171 Followers 281 FollowingTony Z. Zhao @tonyzzhao
12K Followers 785 Following CS PhD student @Stanford. Aspiring full-stack roboticist. Prev Deepmind, Tesla, GoogleX, Berkeley.Chenhao Li @breadli428
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5K Followers 2K Following General Partner @Alley_Corp DeepTech 🤖🦾 | Founder, builder, product & eng lead 💡📝 | Android / Google AI / Verily / k12 dropout | Stoic techno optimist 🔬📈Han Guo @HanGuo97
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40 Followers 83 Following Robotics PhD Student at CSAIL, MIT. Excited about achieving intelligent dexterity in contact-rich manipulation.Prof. Anima Anandkuma.. @AnimaAnandkumar
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1K Followers 260 Following I am research scientist at @DeepMind working on robotic manipulation. I just earned my PhD at @MIT working with Prof. Alberto Rodriguez.Huanbo Sun @huanbo_sun
107 Followers 233 Following Interested in creating techniques to give robots a softer body and a better sense of touch (Haptic Sensors).Jie Xu @xujie7979
610 Followers 98 Following Robotics Research Scientist @Nvidia | Ph.D. student @MIT_CSAIL | Interested in Robotics Control/Design & Physics-based Simulation & Machine LearningNeural Fields @neural_fields
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575 Followers 314 Following Director of Robotic Systems @NVIDIA. Isaac Cortex, cobots, geometric methods; PhD CMU, research Max Planck, TTI-C, co-founder Lula Robotics, eng Google, AmazonYifei Li 李一飞 @Yifei_omegaiota
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666 Followers 359 Following Grad Student at @MIT_CSAIL. Robot learning, motor skills for contact-rich tasks. 🤖Introducing 📺𝗢𝗽𝗲𝗻-𝗧𝗲𝗹𝗲𝗩𝗶𝘀𝗶𝗼𝗻: a web-based teleoperation software!  🌐Open source, cross-platform (VisionPro & Quest) with real-time stereo vision feedback.  🕹️Easy-to-use hand, wrist, head pose streaming. Code: github.com/OpenTeleVision…
Imitation learning works™ – 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 “Learning Visuotactile Skills with Two Multifingered Hands”! 🙌 toruowo.github.io/hato/
Happy to share that our paper, Videodex, was featured on the front page of IJRR for April 2024.😀 I believe learning from human videos for robot hands will be very important especially in the era of foundation models that need a lot of data. journals.sagepub.com/toc/ijra/43/4
Today, I defended my PHD thesis! A huge thanks to my committee and everyone who made these 5 years amazing 🎉🥳
Thank you @ieeeras for the Early Academic Career Award! We have been pushing self-supervised robots that learn from real-world data for about a decade now and it is wonderful to see the support from the robotics and automation community along the way.
Congratulations to the 2024 winners of the #IEEE #RAS awards! Join us at #ICRA2024 to help celebrate their outstanding accomplishments in, and service to, #robotics and #automation as we present them their awards! For more details about the winners, visit: loom.ly/l8QzDRc
I have been cleaning my daughter's mess for more than two years now. Last weekend our robot came to home to do the job for me. 🤖 wholebody-b1.github.io Our new work on visual whole-body control learns a policy to coordinate the robot legs and arms for mobile manipulation. See…
I had the pleasure of visiting @CMU_Robotics over the past two days to give a VASC seminar talk and a guest lecture. Thanks @GuanyaShi for the amazing host! 🙌 The seminar talk was about our recent work on "Foundation Models for Robotic Manipulation": youtu.be/akDSG9FsoCk 🤖
Yesterday, during the GTC Keynote session, Jensen announced NVIDIA's new moonshot project, GR00T! This ambitious endeavor aims to create a general-purpose foundation model for humanoid robots, necessitating advances in and the convergence of various fields such as simulation,…
Today is the beginning of our moonshot to solve embodied AGI in the physical world. I’m so excited to announce Project GR00T, our new initiative to create a general-purpose foundation model for humanoid robot learning. The GR00T model will enable a robot to understand multimodal…
Introduce 3D-VLA, a 3D Generative World Model! Humans use mental models to predict and plan for the future. Similarly, 3D-VLA achieves this by linking 3D perception, future prediction, and action executions through a generative world model. vis-www.cs.umass.edu/3dvla
We have seen a lot of legged robots doing navigation in the wild. But how about mobile manipulation in the wild? I have been pushing the direction of learning a unified, efficient, and dynamic 3D representation of scenes (for navigation) and objects (for manipulation) for the…
Building robot intelligence requires high-quality robot data. But far too many tools to collect data are closed and custom-built. Open Teach is fully open-sourced and is: - Calibration-free - Supports multiple arms, hands, & mobile manipulators - Costs just $500
We are now having full conversations with Figure 01, thanks to our partnership with OpenAI. Our robot can: - describe its visual experience - plan future actions - reflect on its memory - explain its reasoning verbally Technical deep-dive 🧵:
🧐Automatically breaking LLAMA2-7B, GPT-3.5, Stable Diffusion, etc with curiosity-driven exploration! Curious exploration helps test large language and vision models by generating diverse inputs/prompts that trigger unwanted responses from a target model. ⚡️Read our paper,…
🥽 Want to use your new Apple Vision Pro to control your robot? Want to record how you navigate / manipulate the world to train a policy? I developed an app for VisionOS that can stream your head / wrist / finger movements over WiFi, which you can subscribe on any machines using…
LLMs swept the world by predicting discrete tokens. But what’s the right tool to model continuous, multi-modal, and high dim behaviors? Meet Vector Quantized Behavior Transformer (VQ-BeT), beating or matching diffusion based models in speed, quality, and diversity. 🧵
Robot learning in the real world can be expensive and unsafe in human-centric environments. Solution: Construct simulation on the fly and train in it! Excited to share RialTo, led by @marceltornev on learning resilient policies via real-to-sim-to-real policy learning! A 🧵 (1/12)
Love imitation learning but need more robustness? Check out RialTo -- a pipeline for acquiring reactive visuomotor policies via real-world BC and simulation-based RL with digital twin 3D assets real-to-sim-to-real.github.io/RialTo/ Project lead by @marceltornev, details in his thread below!
How can we train robust policies with minimal human effort?🤖 We propose RialTo, a system that robustifies imitation learning policies from 15 real-world demonstrations using on-the-fly reconstructed simulations of the real world. (1/9)🧵 Project website: real-to-sim-to-real.github.io/RialTo/
Let’s think about humanoid robots outside carrying the box. How about having the humanoid come out the door, interact with humans, and even dance? Introducing Expressive Whole-Body Control for Humanoid Robots: expressive-humanoid.github.io See how our robot performs rich, diverse,…
We tackle robotic manipulation with real-world imitation learning or sim2real approaches. But what if we merge the two? Introducing CyberDemo: a novel pipeline that leverages simulated human demos to master real-world dexterous manipulation tasks.
The plan was to collect some demos among people in university center, lead to some unexpected donations from the crowd 💵