#robotlearning search results
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 🧵
🚀 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.
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…
🌏 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
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.
#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.
🤖#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…
📢 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!
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]
I'm excited about today's talk at the @MontrealRobots #robotlearning seminar @Mila_Quebec. We have @keerthanpg talking about her recent work at @GoogleDeepMind!
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!🦾
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…
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).
Will be at @NeurIPSConf next week — excited to meet researchers working on VLA/VLM models! If you’re exploring policy learning, multimodal robotics, or embodied AI, I’d love to connect and chat about your work. #vla #vlm #robotlearning
#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
Two 🤖🤖 are better than one! iROSA family grows #Robotics #robotLearning #mobileManipulation @ias_tudarmstadt @TUDarmstadt @PALRobotics
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…
Oh my gosh!!! Just found all my friends at #edCampPSWA @dsd_tech @jodytracy @liztekkie @TEACHheartSOUL @krazykimwolff #robotlearning
Releasing my next set of lectures from my class on #Robotlearning. Last week's topic was scaling #BehaviorCloning
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.
#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.
Very interesting talk by Stefanie Tellex on human-robot collaborative POMDP #corl #Robotics #robotlearning #CoRL2017
I'm excited about today's talk at the @MontrealRobots #robotlearning seminar @Mila_Quebec. We have @keerthanpg talking about her recent work at @GoogleDeepMind!
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.
Stunning new paper on dexterous manipulation with the ShadowHand by @GoogleAI! 😃 New simulation tasks like valve turning and rope pulling and a real world application rotating Baoding balls: sites.google.com/view/pddm/ #RobotLearning
Interesting talks, posters, demos and #networking events at #CoRL2022 ! #robotlearning #AI #Robotics
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.
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