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We are honored to introduce the Advisory Board for the brand-new IEEE Transactions on Robot Learning (T-RL)!
🌟 Ken Goldberg– | University of California, Berkeley
🌟 Aude Billard– | EPFL
🌟 Frank Park– | Seoul National University
Stay tuned for our official launch! 📅 March 30, 2026
#RobotLearning

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CoRL 2026 Welcome to CoRL 2026!

Calling all researchers! 🤖The CoRL 2026 website is officially live at [http://corl.org](corl.org with key dates for your submissions:
🗓 May 25: Abstract Submission
🗓 May 28: Full Paper Submission
🗓 Nov 9-12: Conference in Austin, TX

Send us your coolest work!

#CORL2026 #RobotLearning #Robotics

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➡️Key insight: Modality importance should be task-dependent

➡️Result: Visuomotor policies that emphasize proprioception show remarkable robustness to visual distractors and even camera blinds 📷!

#ICRA #robotics #robotlearning #multimodal #composition #ASU #diffusion #asurobotics

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Integral AI, a Tokyo-based company founded by former Google veteran Jad Tarifi, has unveiled a new model that can learn entirely new tasks without relying on pre-existing datasets or human intervention.

#AGI #ArtificialGeneralIntelligence #RobotLearning #IntegralAI #TechInnovation

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Curiosity-Driven Robot Learning Links Action and Language Development

Curiosity-Driven Robot Learning Links Action and Language Development

Scientists built a simulated robot that learns commands like “push red cube”. Learning was faster and more accurate when curiosity‑driven exploration was paired with motor noise. getnews.me/curiosity-driven-robot-l... #curiositydriven #robotlearning

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StaMo: Compact Two‑Token State Representation Boosts Robot Learning

StaMo: Compact Two‑Token State Representation Boosts Robot Learning

StaMo compresses visual observations into just two tokens, boosting real‑world robot task success rates by 30% and improving LIBERO benchmark performance by 14.3%. Read more: getnews.me/stamo-compact-two-token-... #stamo #robotlearning

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ActiveUMI Enables Portable VR Teleoperation for Bimanual Robot Learning

ActiveUMI Enables Portable VR Teleoperation for Bimanual Robot Learning

ActiveUMI enables portable VR teleoperation for bimanual robot learning, achieving 70% success on known tasks and 56% on novel objects. Read more: getnews.me/activeumi-enables-portab... #activeumi #vrteleoperation #robotlearning

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🤖 Join the global robotics community at #Humanoids2025 in Seoul, Korea from 30 Sept – 2 Oct, 2025!

Explore cutting-edge research, keynotes, workshops & a joint program with #CoRL2025. https://loom.ly/VL8jgY8

#IEEE #RAS #HumanoidRobots #RobotLearning

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Approach Boosts Generalist Robot Manipulation Without Action Labels

Approach Boosts Generalist Robot Manipulation Without Action Labels

Method builds 3D point clouds from video and, after tuning on a labeled set, improves robot manipulation; accepted for Conference on Robot Learning 2025. getnews.me/approach-boosts-generali... #robotlearning #selfsupervision #manipulation

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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

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🤖 Did I Just Walk Into a Sci-Fi Movie?
Nope. You walked into 2025. And the robot just picked up your keys.
Humanoid robots are officially learning by themselves.

#HumanoidRobots #AIInRobotics #RobotLearning #EmergentBehavior #TechRevolution #GR00T #FutureIsNow

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Automatic Symbolic Goal Abstraction via ReachabilityAnalysis in Hierarchical Reinforcement Learning
Automatic Symbolic Goal Abstraction via ReachabilityAnalysis in Hierarchical Reinforcement Learning YouTube video by Nguyen Sao Mai

Proud of Mehdi's successful PhD presentation 🎓 of his work combining #ReinforcementLearning and #FormalMethods for robots to learn online Automatic Symbolic Goal Abstraction via Reachability Analysis in Hierarchical Reinforcement Learning
📽️ youtu.be/vOjRKN8MFAo
#EmergentSymbols #RobotLearning

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The intrinsic motivation of reinforcement and imitation learning for sequential tasks
The intrinsic motivation of reinforcement and imitation learning for sequential tasks YouTube video by Nguyen Sao Mai

I finally uploaded my presentation "The #IntrinsicMotivation of #ReinforcementLearning and #ImitationLearning for sequential tasks" which overviews my past 10 years of research
📽️ youtu.be/tPndN5dntoQ
#ActiveImitationLearning #CompositionalLearning #ActivityRecognition #ADL #RobotLearning #RobotCoach

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📐 Fun but formal appearance specifications

🗺️ No fixed maps, only fixed rules

🧩 Modular composition

📚 t.co/hHMbunIUFm 📚

🤖 Get your Starter Kit now: t.co/5fK4H4IPWC

#Robotics #STEMEducation #AutonomousSystems #RobotLearning #EmbodiedAI

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🧩 @jmendezm.bsky.social (Stony Brook University)

Talk: Unlocking Lifelong Robot Learning With Modularity

Jorge shows how modularity in robotics enables scalable lifelong learning for robots.

#RobotLearning #Modularity #EmbodiedAI

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Our feature detection and matching on a challenging sequence in UMA-VI dataset. The red lines represent detected line features and the colored lines across images indicate feature association. The image may suddenly go dark due to turning off the lights, which is very difficult for vSLAM systems.
Paper "AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System" at https://ieeexplore.ieee.org/document/10874215

Our feature detection and matching on a challenging sequence in UMA-VI dataset. The red lines represent detected line features and the colored lines across images indicate feature association. The image may suddenly go dark due to turning off the lights, which is very difficult for vSLAM systems. Paper "AirSLAM: An Efficient and Illumination-Robust Point-Line Visual SLAM System" at https://ieeexplore.ieee.org/document/10874215

Check out the latest on the T-RO Visual SLAM special collection. Keep checking back as many more papers will be added to this collection in the coming months.

ieeexplore.ieee.org/xpl/topics-i...

#VisualSLAM #RobotLearning #GaussianSplatting

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Experiment setup: A robot manipulator is balancing a planar pendulum and learning to follow the reference trajectory with the pendulum. Left: Simulator. Right: Real hardware.

Experiment setup: A robot manipulator is balancing a planar pendulum and learning to follow the reference trajectory with the pendulum. Left: Simulator. Right: Real hardware.

Researchers introduce a hybrid real‑to‑sim‑to‑real learning approach that helps robots adapt quickly to new tasks with minimal trials. The result? Faster learning and stronger performance with fewer attempts.
ieeexplore.ieee.org/abstract/doc...

#RobotLearning #BayesMethod #SimToReal

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Talk: Using generative AI for planning and action in robotics | Royal Society Join Professor Ingmar Posner to discover how robots are learning to learn and think — and why the future of intelligent machines is anything but robotic.

👋 Hello, Bluesky!

Starting with @a2i-oxford.bsky.social’s work on generative AI for robot & world models—shown at @royalsociety.org #SummerScience 2025. Great energy, great questions!

🎥 Watch: tinyurl.com/5y7cfxd7

@oxengsci.bsky.social #RobotLearning #GenerativeAI #Robotics

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In my last lecture on large-scale #robotlearning, I cover one of my most interesting directions, 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.

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Open positions We are seeking for an excellent Postdoc to join our group and contribute to the ERC StG SIREN. Job description available here We are seeking for enthusiastic researchers that want to work on highly…

🚨 We're hiring a Postdoc in Robot Learning @ PEARL Lab, TU Darmstadt 🚨

Join our ERC-funded project SIREN (Structured Interactive Perception and Learning for Holistic Robotic Embodied Intelligence).

#robotics #AI #postdoc #ERCgrant #RobotLearning #EmbodiedAI #AIRobots
#MachineLearning#roboticsjobs

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7th Robot Learning Workshop: Towards Robots with Human-Level Abilities @ICLR 2025 27 April Singapore EXPO Garnet 216 & 217

Visiting #ICLR2025? Join for the 7th iteration of the #RobotLearning workshop 🤖🧠 (rather than the usual at NeurIPS)! Rather than human-like form, how far are we from human-level abilities?

Join the fun in person (while I will be cheering the team from London)!

www.robot-learning.ml/2025/

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A new era in robotics is here.
Simulations and robot learning are reshaping the industry.
Add world foundation models, and we now have AI-powered robots that can adapt to complex, ever-changing environments. The future is unfolding.

#AI #Robotics #RobotLearning #Simulation #FoundationModels #Future

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I'm excited about today's talk at the @montrealrobotics.bsky.social #robotlearning seminar @mila-quebec.bsky.social ! We have @keerthanpg.bsky.social talking about her recent work at Google Robotics.

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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.

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RobotLearning: Scaling Offline Reinforcement Learning
RobotLearning: Scaling Offline Reinforcement Learning YouTube video by Montreal Robotics

How can control policies be trained from offline data and scaled to larger models and datasets? In this #robotlearning lecture, I cover common methods for training policies from fixed data, and then I discuss recent research on how to scale these methods to #largemodels and #largedatasets.

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#IROS2025 reviews are coming up! Please let me know if you're interested in reviewing.

Thorough and constructive reviews are a backbone for scientific progress, please reach out!

#robotics #robotlearning #reinforcementlearning #transferlearning #imitationlearning

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#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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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).

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Robot Learning: Scaling Behavoir Cloning
Robot Learning: Scaling Behavoir Cloning YouTube video by Montreal Robotics

Releasing my next set of lectures from my class on #Robotlearning. Last week's topic was scaling #BehaviorCloning.

youtu.be/5hNxQ1l_Ago

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Does anyone have a good ML pipeline for tuning lecture recordings into articles or book chapters? I have created lots of content for my #RobotLearning class: slides, recordings, homework, etc. It would be great to have an LLM turn all this content into a nice reference for researchers.

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