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We introduce Deep Fourier Mimic, a generalized version of DeepMimic, which enables automatic parameterization of reference motions. This means you can learn diverse motions with a single policy conditioned on their meaningful spatial and temporal representations! #ICRA2025

Congratulations to Takahiro Miki, 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 Zurich D-MAVT, ETH Zurich Pulkit Agrawal

Congrats to Yunao Ma for successfully defending his PhD "Towards Agile Whole-Body Legged Loco-Manipulation". Can't wait to play badminton against #ANYmal. D-MAVT, ETH Zurich ETH Zurich Georg Martius

Congratulation to Jonas Frey for a successful defense on "Learning Perception and Navigation for autonomous robots in the wild"! D-MAVT, ETH Zurich ETH Zurich thanks Maurice Fallon Georg Martius NASA JPL

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/wholebody-pose… Work led by: Tifanny Portela, Andrei Cramariuc, Mayank Mittal and Marco Hutter

Our robot puppy dances, walks, and tracks gaze—all at once. At #ICRA2025, we’re presenting Deep Fourier Mimic, a generalization of DeepMimic for expressive, multitask motion control. Come chat with us about smooth transitions, frequency modulation, and dancing robots!

“A Robot’s Dream” explores the relationship between automation, craftsmanship, and materiality in architecture. Ryan Batke and Chenhao Li (Chenhao Li) from RSL contributed to the project by supporting motion imitation for a humanoid robot. Read more gramaziokohler.arch.ethz.ch/web/projekte/e….

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: youtu.be/QDU_FicBPDo Nikita Rudin Junzhe He Joshua Aurand

A legged mobile manipulator trained to play badminton with humans coordinates whole-body maneuvers and onboard perception. Paper: science.org/doi/10.1126/sc……Video: youtu.be/zYuxOVQXVt8 Yuntao Ma, Andrei Cramariuc, Farbod Farshidian, Marco Hutter