🇰🇷 Conferences are about finally meeting your collaborators from all around the world! Check out our work on Embodiment Scaling Laws @CoRL2025 We investigate cross-embodiment learning as the next axis of scaling for truly generalist policies 📈 🔗 All details: embodiment-scaling-laws.github.io

As usual, @ewrl18.bsky.social was a wonderful experience. I had the pleasure of presenting my research as a Contributed Talk 🎉 Special thanks to the organizers for making it happen!

Today, @theovincent.bsky.social l will present "Eau De Q-Network: Adaptive Distillation of Neural Networks in Deep Reinforcement Learning" by Théo Vincent, @jan-peters.bsky.social, and Carlo D'Eramo. 🗓️ 12.06, 16:30 - 19:30 📍 Poster 28 See bsky.app/profile/theo...

@timschneider94.bsky.social will present "Active Perception for Tactile Sensing: A Task-Agnostic Attention-Based Approach" by Tim Schneider, Cristiana de Farias, Roberto Calandra, Liming Chen, and @jan-peters.bsky.social 🗓️ 12.06, 16:30 - 19:30 📍 Poster 105 See bsky.app/profile/tims...

🚀 Interested in Neuro-Symbolic Learning and attending #ICRA2025? 🧠🤖 Do not miss Leon Keller presenting “Neuro-Symbolic Imitation Learning: Discovering Symbolic Abstractions for Skill Learning”. Joint work of Honda Research Institute EU and @jan-peters.bsky.social (@ias-tudarmstadt.bsky.social).

Thanks to my co-authors Florian Vogt, @joemwatson.bsky.social @jan-peters.bsky.social @hessianai.bsky.social @ias-tudarmstadt.bsky.social @dfki.bsky.social @cs-tudarmstadt.bsky.social #RL #ML #AI

Work conducted @ias-tudarmstadt.bsky.social headed by @jan-peters.bsky.social @cs-tudarmstadt.bsky.social @tuda.bsky.social Many thanks to all #LocoMuJoCo Contributors!

First German Robotics Conference starting in Messezentrum Nuremberg! 400+ delegates plus RoboCup next door! @jan-peters.bsky.social @tuda.bsky.social

Many thanks to my colleagues and collaborators: Daniel Palenicek, Łukasz Antczak, @jan-peters.bsky.social and most importantly Jonathan Kinzel (@ibims1jfk.bsky.social), who interned at MAB Robotics and did the experiments. Also thanks to MAB Robotics for providing the hardware and constant support!

We build on the efficient CrossQ DRL algorithm and combine it with two control architectures — Joint Target Prediction for agile maneuvers and Central Pattern Generators for stable, natural gaits — to train locomotion policies directly on the HoneyBadger quadruped robot from MAB Robotics.

Intrigued? Check out the paper and videos here: nico-bohlinger.github.io/gait_in_eigh...

⚡️ Do you think training robot locomotion needs large scale simulation? Think again! We train an omnidirectional locomotion policy directly on a real quadruped in just a few minutes 🚀 Top speeds of 0.85 m/s, two different control approaches, indoor and outdoor experiments, and more! 🤖🏃‍♂️

HAINER stellt sich auch im Video vor: www.youtube.com/watch?v=5chc...

Neues Level der Mensch-Roboter-Interaktion an der TUDa: Der humanoide Roboter aus der "Talos-Reihe" hört an der TU auf den Namen "HAINER". Mit der Anschaffung beginnt eine spannende Reise in die Zukunft der künstlichen Intelligenz und Robotik. Willkommen, HAINER! www.tu-darmstadt.de/universitaet...

BlueSky is so different from Twitter. I still don't have a grasp of why is actually here? Please suggest: Whom should I follow? My interests: Anything that vaguely relates to AI+machine learning, robotics and human motor control+learning! *Any good links are highly appreciated!*

That unboxing hit differently—a 300 kg crate! We just set up our Talos robot and can't wait to share some exciting demos soon. Stay tuned! 🤖

🎉 Meet TALOS2, our humanoid robot nicknamed “HAINER”! 🤖📦 Congrats to those who guessed right! With full torque control, ROS integration, and designed for locomotion and manipulation, this bipedal robot will advance robotics research. Watch its first steps—more to come! 🚀

Something exciting just arrived at our lab! Here's a hint: precision mechanics, intricate wiring, and a touch of power. What could it be? A) High-end lab equipment B) Experimental space probe component C) Something that might walk past you in the hallway. Share your guesses!

Great work by great students, alumni Julen Urain, Carlo D'Eramo, Boris Belousov & Jens Kober and with our great collaborators Constantin A. Rothkopf! Happy with the 2025 results at International Conference on Learning Representations (ICLR).

If you're interested in cutting-edge research on diffusion models in robot manipulation, you should definitely explore Joao Carvalho's remarkable work at @ias_tudarmstadt. A significant milestone was just achieved as he successfully defended his PhD thesis, marking our first defense of 2025.

Puze Liu's PhD work brings safe exploration and policy learning to robot reinforcement learning. He develops algorithms that ensure safety without compromising performance, crucial for real world robotics.

Congratulations once again, Dr. Watson! Ph.D. graduate #40! Your dedication and hard work have truly paid off, and that PhD hat is a testament to all your efforts. Hope to see the adventures awaiting with your future dog Sherlock Holmes! Here's to many more achievements and exciting journeys ahead.

Kudos to Carlos E. Luis for successfully defending his PhD dissertation, "Uncertainty Representations in Reinforcement Learning." As the 39th PhD student I've graduated since 2011, his commitment to artificial intelligence is truly admirable. I am honored to have been his guide.

Robots cleaner discovers an old fallen statue Dall-e3 AI Art #dalle3 #dalle #aiart #MachineLearningArt #Machinelearning #ArtfullyIntelligentArt

@ias-tudarmstadt.bsky.social is the new channel of my research group! Please follow it!

Post your most popular 🐦 from Twitter Types of Reinforcement Learning Paper Original image: @xkcd.com

Everyone and their grandma does that...

Careworn robot pondering the Autumn leaves Dall-e3 AI Art #dalle3 #dalle #aiart #MachineLearningArt #MachineLearning #stablediffusion #midjourney #ArtfullyIntelligentArt

5yo is using his programmable toy robot to carry his laundry to the dryer. It's taking forever but he's learning this valuable xkcd chart.