#robotlearning kết quả tìm kiếm
🤖#RoboticsAI #RobotLearning! Are we targeting the right robotic tasks? Industrial or home application? Let's dive deep at the CoRL’23 Workshop, Nov 6, 8:30am-12:30pm EST, Hub 1 @corl_conf, Atlanta. Don't miss the flaming debate at 11:50am! 🔥 sites.google.com/view/corl23-ta…
Last week, I had the amazing opportunity to attend the 2025 Conference on Robot Learning (CoRL) in South Korea 🇰🇷. Incredible talks, demos, and made great connections with researchers and innovators from around the world. #CoRL2025 #RobotLearning #AI 🧵
Honored for the early career keynote at #CoRL2024 last week—unforgettable milestone! Grateful to the community for the recognition. From a small lab in Greece to leading my own group @TUDarmstadt, this journey fuels me to push #RobotLearning further. #ERCStG SIREN is the start!🦾
🚀 Nvidia and the University of Texas at Austin just dropped some next-level robot training software called DrEureka. 🦾 It’s got GPT-4 or another chatbot pre-installed, and then it hooks up with a robot in virtual space to teach it new tricks. 🤖✨ #TechRevolution #RobotLearning
Many recent #robotlearning works, such as Hi-robot, Gemini-Robotics, Helix, etc., use different types of hierarchical planning. In this lecture, I review hierarchical #reinforcementlearning for humanoid control, before discussing how these methods are used in recent works.
Releasing my next set of lectures from my class on #Robotlearning. Last week's topic was scaling #BehaviorCloning
Honored to serve as an Associate Editor in #RobotLearning for #ICRA2026 in Vienna! Good luck everybody with their submissions!
🌏 I will be traveling to the US to attend the Conference on Robot Learning #CoRL23 where I am part of 4 contributed papers👇. Excited to meet with the #robotlearning community again and chat about cool new research directions and future collaborations. @QUTRobotics
Robots in our group are finally moving! Excited to share the first #RobotLearning project from my group led by Han Qi and @hcy1n: Control-oriented Clustering of Visual Latent Representation In classical robotics, "perception" and "control" are separated with an explicit state…
In my next lecture on #robotlearning, I cover generalization across sequences and robots. This generalization across sequences of actions or states is a challenging, data-intensive process that requires experience across various robots and tasks.
Excited to share our baseline agents playing against each other! Can't wait to see the agents of the challenge participants! Big thanks @Jan_R_Peters @davide_tateo @hbouammar for their help! Join our robot #AirHockeyChallenge and show your #RobotLearning skills! 🏒🤖
Today we are excited to kick off the Air Hockey Challenge! 🏑🥅🦾 We’ve been working on air hockey for several years now, and are opening up our simulator and robots for a competition! There’s a total of €6k in prize money for the best agents, kindly provided by @Huawei! [1/3]
#RobotLearning lecture update. These next lectures cover deep #qlearning fundamentals quickly and then get into the challenges of training #largemodels, maintaining the contraction property with target networks, network structure, and better optimizers.
I'm excited about today's talk at the @MontrealRobots #robotlearning seminar @Mila_Quebec. We have @keerthanpg talking about her recent work at @GoogleDeepMind!
Finally finished my slides for the International Symposium on #RobotLearning tomorrow morning at the @UTokyo_News_en. Looking forward to covering two recent projects as examples of the role of #ReinforcementLearning in the age of Gemini, ChatGPT and friends. Thank you…
🚀 Major leap in #RobotLearning: @figure_robot Project Go-Big by @Figure_robot as mentioned by @adcock_brett sets a record with the world’s largest humanoid pretraining dataset, thanks to a massive partnership with @Brookfield . - 100% human video data trains Helix models -…
How can policies be trained from offline data and scaled to larger models? In this #robotlearning lecture, I cover common methods for training policies from fixed data and discuss recent research on scaling these methods to #largemodels and #largedatasets.
Cool demo on upside-down object re-orientation presented by the team from German Aerospace Center (DLR). #Robotlearning #ReinforcementLearning #AI #CoRL2024
Deep policy gradients are used to train the largest #LLM models and are the main #reinforcementlearning algorithm in sim2real transfer. In my next set of lectures on #robotlearning I cover the basics of policy gradients to the methods used to train #AlphaStar (in part 2).
言葉でロボットを動かす時代が現実に。 AIが「理解して動く」未来が、もう始まっている。 以下の動画を確認してくださいね~ ロボット学習の新時代!言語で操るAIロボが現実に!#aiinrobotics #robotlearning #aiinrobotics youtube.com/shorts/_kFlVpL… @YouTubeより
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ロボット学習の新時代!言語で操るAIロボが現実に!#aiinrobotics #robotlearning #aiinrobotics
🆕 #openaccess paper! The effects of #robotlearning on human teachers for learning from demonstration by Erin Hedlund-Botti, Julianna Schalkwyk, Michael Johnson & @MatthewGombolay 🔓bit.ly/4odw1nc #humanrobotinteraction @ICatGT @GeorgiaTech
Though I can’t attend #IROS2025 due to visa issues, I’m thrilled two of my papers will be presented! 1️⃣ GRaD-Nav: drone visuo-motor RL with 3DGS (Wed Oct 22, 10:30, Rm 311A) 2️⃣ GRFM-Net: autotuning bipedal MPC (Thu Oct 23, 16:40, Rm 101) #RobotLearning #ReinforcementLearning
This year’s CoRL saw a 102% increase in attendance compared to 2024. The field is moving fast, and there’s a lot of energy — these are exciting times for the robot learning community. #CoRL2025 #Robotics #RobotLearning
📢 The Proceedings of the 2025 Conference on Robot Learning (CoRL 2025) are now available through PMLR! Discover the latest advances in robot learning research presented at this year’s conference. 🔗 proceedings.mlr.press/v305 #CoRL2025 #RobotLearning #PMLR #MachineLearning…
Last week, I had the amazing opportunity to attend the 2025 Conference on Robot Learning (CoRL) in South Korea 🇰🇷. Incredible talks, demos, and made great connections with researchers and innovators from around the world. #CoRL2025 #RobotLearning #AI 🧵
Our article on teaching robots useful skills is published in #tmlr. #robotlearning #ai #vlm
ASkDAgger: Active Skill-level Data Aggregation for Interactive Imitation Learning Jelle Luijkx, Zlatan Ajanović, Laura Ferranti, Jens Kober. Action editor: Tim Genewein. openreview.net/forum?id=987Az… #novice #interactive #gating
❓Awards celebrate results—can robots prove decisions? ✦ With RAD² X, plans and policies are traceable, contradiction-free, agency-first. glcnd.io/ainhoa-urtasun… #GLCND #RAD2X #RobotLearning #ExplainableAI #PrivacyByDesign
🚀 Major leap in #RobotLearning: @figure_robot Project Go-Big by @Figure_robot as mentioned by @adcock_brett sets a record with the world’s largest humanoid pretraining dataset, thanks to a massive partnership with @Brookfield . - 100% human video data trains Helix models -…
📢 The CoRL 2025 accepted papers are now live on OpenReview! Check out the list of exciting contributions in robot learning: openreview.net/group?id=robot… #CoRL2025 #RobotLearning
Honored to contribute to the robotics community as an Associate Editor for #RobotLearning at #ICRA2026 in Vienna. Excited to see great work coming through. Good luck to all the authors!
Honored to serve as an Associate Editor in #RobotLearning for #ICRA2026 in Vienna! Good luck everybody with their submissions!
This Chinese robot is learning to bake bread from a sweet grandmother! Watch as the AI student cook alongside its human teacher. #RobotLearning #GrandmaTeacher #BakingTogether #AIStudent #HeartWarming #IntergenerationalBonding #CookingLesson #RobotStudent #ElderlyWisdom
🔓 New paper online "#RobotLearning from #TeleoperatedDemonstrations: A Pilot Study Towards Automating Mastic Deposition in #ConstructionSites" in @RoboticsMDPI, by Irati Rasines Garcia, Erlantz Loizaga, Rebecca Erlebach, etc. 👉 Welcome to read: mdpi.com/2218-6581/14/8…
Two 🤖🤖 are better than one! iROSA family grows #Robotics #robotLearning #mobileManipulation @ias_tudarmstadt @TUDarmstadt @PALRobotics
#CoRL2022 started with an amazing lab tour at University of Auckland’s Eng building. Wide range of robots and application! The video is ASL tactile technology to interact with people who are deaf & blind! #robotlearning #AI
Last week, I had the amazing opportunity to attend the 2025 Conference on Robot Learning (CoRL) in South Korea 🇰🇷. Incredible talks, demos, and made great connections with researchers and innovators from around the world. #CoRL2025 #RobotLearning #AI 🧵
🤖#RoboticsAI #RobotLearning! Are we targeting the right robotic tasks? Industrial or home application? Let's dive deep at the CoRL’23 Workshop, Nov 6, 8:30am-12:30pm EST, Hub 1 @corl_conf, Atlanta. Don't miss the flaming debate at 11:50am! 🔥 sites.google.com/view/corl23-ta…
Honored to serve as an Associate Editor in #RobotLearning for #ICRA2026 in Vienna! Good luck everybody with their submissions!
Oh my gosh!!! Just found all my friends at #edCampPSWA @dsd_tech @jodytracy @liztekkie @TEACHheartSOUL @krazykimwolff #robotlearning
Many recent #robotlearning works, such as Hi-robot, Gemini-Robotics, Helix, etc., use different types of hierarchical planning. In this lecture, I review hierarchical #reinforcementlearning for humanoid control, before discussing how these methods are used in recent works.
Very interesting talk by Stefanie Tellex on human-robot collaborative POMDP #corl #Robotics #robotlearning #CoRL2017
🚀 Major leap in #RobotLearning: @figure_robot Project Go-Big by @Figure_robot as mentioned by @adcock_brett sets a record with the world’s largest humanoid pretraining dataset, thanks to a massive partnership with @Brookfield . - 100% human video data trains Helix models -…
Releasing my next set of lectures from my class on #Robotlearning. Last week's topic was scaling #BehaviorCloning
In my next lecture on #robotlearning, I cover generalization across sequences and robots. This generalization across sequences of actions or states is a challenging, data-intensive process that requires experience across various robots and tasks.
Robots learn just by observing humans #deeplearning #neuralnetworks #robotlearning #NVIDIA innovationtoronto.com/2018/05/robots…
#RobotLearning lecture update. These next lectures cover deep #qlearning fundamentals quickly and then get into the challenges of training #largemodels, maintaining the contraction property with target networks, network structure, and better optimizers.
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