The Robotic Systems Lab designs machines, creates actuation principles, and builds up control technologies for autonomous operation in challenging environments.
🔥Exciting news 🤖
Our latest research by @HoellerDavid, @rdn_nikita, @2nisi in @SciRobotics unlocks new achievements: Unprecedented agility in quadrupedal robots, mastering locomotion, navigation, and perception through deep reinforcement learning! @NVIDIARobotics
A legged mobile manipulator trained to play badminton with humans coordinates whole-body maneuvers and onboard perception. Paper: science.org/doi/10.1126/scir……Video: piped.video/zYuxOVQXVt8@Yuntao144, Andrei Cramariuc, Farbod Farshidian, Marco Hutter
New research: Quadruped robots climbing ladders! 🦾🚀 Using RL-based control and a hooked end-effector, we're expanding robot capabilities in industrial environments. More info in the paper: arxiv.org/abs/2409.17731
Video: piped.video/_N2mmcxINmo
Excited to unveil Orbit v0.3 with many new features & improvements. Orbit is a modular robot learning framework that leverages the latest simulation capabilities and supports different learning paradigms! Join us in revolutionizing robotics! More info here isaac-orbit.github.io/orbit/
Check out our #ICRA2025 paper !
Robust, precise, and terrain-aware—our RL controller significantly improves over baselines for whole-body 6-DoF tracking.💥
Project website: leggedrobotics.github.io/who…
Work led by: @TifannyPortela, Andrei Cramariuc, Mayank Mittal and Marco Hutter
Crafting multi-contact loco-manipulation behaviors for sparsely-defined tasks, like traversing spring-loaded doors or closing heavy dishwashers, is challenging. Check out our proposed solution for our legged mobile manipulator:
piped.video/rAP7M4BL9sQ@SciRobotics@ETH_en
We open source our fast GPU based elevation mapping software!
This includes features like traversability estimation and inpainting which are useful for navigation and legged locomotion.
It was used during the DARPA SubT Challenge by team @CerberusSubt.
github.com/leggedrobotics/el…
Check out our #ICRA2025 paper where we train a robotic puppy to dance expressively!
Our method, Deep Fourier Mimic, a generalized version of DeepMimic, enables automatic parameterization of reference data.
Project site: sony.github.io/DFM/
Video: piped.video/watch?v=Do4HmC9P…
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The Robotic Systems Lab won third place in the Advanced Industrial Robotic Applications (AIRA) Challenge, demonstrating our leader-follower teleoperation system for industrial inspection tasks.
Full video: piped.video/LLD3BFS-qms
1. Legged systems have traditionally been controlled using trajectory optimization (TO). Such hierarchical model-based methods offer intuitive cost function tuning, accurate planning, and generalization. However, violations of modeling assumptions are common sources of failure.
Check our new IROS 2022 paper on "Locomotion Policy Guided Traversability Learning using Volumetric Representations of Complex Environments" by Jonas Frey, David Hoeller, Shehryar Khattak, Marco Hutter.
Video: piped.video/GGQ72tbAq0E
Paper: arxiv.org/abs/2203.15854@ETH_en
Check out our #ICRA2025 paper where we train a home robot to walk quietly!
Project site: sony.github.io/QuietWalk/
Video: piped.video/watch?v=6RjkBHSY…
Authors: Ryo Watanabe, Takahiro Miki, Fan Shi, Yuki Kadokawa, Filip Bjelonic,
Kento Kawaharazuka, Andrei Cramariuc and Marco Hutter
🚶Human motions have become popular in guiding RL training and making robots walk like real human. 🤖
🚀 Excited to share our latest research on recent advances in this technology, with a guideline on the best practices!
🔗breadli428.github.io/post/lf…
📄PDF: arxiv.org/pdf/2507.05906
Introducing IN-Sight: a cutting-edge approach to self-supervised interactive visual navigation presented in our new #IROS2024 paper in collaboration with #IntelLabs.
Paper link: arxiv.org/abs/2408.00343
Congratulations to @ki_ki_ki1, master of perceptive RL-based legged locomotion, for a successful defense of the thesis “Bridging Perception and Control for Legged Locomotion and Navigation in the Wild".@ETH_en@eth_dmavt@pulkitology
ANYmal just learned parkour in the wild! 9 expert skills → 1 foundation policy → RL fine-tuning → any terrain with a single end-to-end policy from cameras to motor control.
Paper: arxiv.org/abs/2505.11164
Watch: piped.video/QDU_FicBPDo@rdn_nikita Junzhe He Joshua Aurand
Congratulations to Vassilios Tsounis for the successful PhD defense on the application of RL for motion planning and control of quadrupeds! @eth_dmavt@rsiegwart
Check out our #RSS2024 paper "Rethinking Robustness Assessment: Adversarial Attacks on Learning-based Quadrupedal Locomotion Controllers" to identify weak spots in the SOTA neural-net controllers.
Full video: piped.video/WMgUrhZ2Tps#legged_robot#reinforcementlearning
RL controllers for quadruped locomotion are great but black-box. Are they safe enough? Our work in #RSS2024 reveals the risk of small noises and low-frequency velocity commands falling SOTA controller, which helped win DARPA SubT Challenge, even on the simplest flat terrain.
Check out our #CoRL2024 paper where we train ANYmal with an arm to traverse a variety of doors by inferring the open direction through interaction, just like how people test doors they haven't seen before.
Full video: piped.video/tQDZXN_k5NU
Paper: arxiv.org/abs/2409.04882
Congrats Dr. Jan Carius, truly exceptional defense presentation! Thanks to @MarcoPavoneSU, Scott Kuindersma, and René Ranftl, @nccrrobotics@eth_dmavt@ETH_en
Congratulations to (new Dr.) Ruben Grandia for an excellent thesis and defense!! Thanks to Aaron Ames and Michael Mistry for serving on the committee. @THING_H2020@nccrrobotics@eth_dmavt@ETH_en
Start of the @ETH_en@eth_dmavt robotics summer school 2021. 25 ETH and 25 international students learn in one week how to make an autonomous search and rescue robot. #ARCHE@swissrobotics
Congratulations to Giorgio for receiving the IEEE RAL best paper award! This work was done as part of the EU H2020 Project @THING_H2020. Check out the paper (ieeexplore.ieee.org/document…)
Congratulations to Dr. Dominic Jud for successfully defending an excellent PhD thesis @ETH_en@eth_dmavt . See what an autonomous excavator can do: piped.video/Wjq3Nf9rWrM
Congratulations Dr. Fabian Jenelten for a successful defense. You managed to bridge #MPC and #RL to make #ANYmal a robust and versatile climber! Stay tuned for great videos to come soon. @eth_dmavt@ETH_en
RSL's field test engineers deployed two ANYmal C robots in the Seemühle underground mine as part of Team @CerberusSubt for the DARPA #subtchallenge
A big thank you to Vale Schoch and Peter Schoch for making this possible!