Robotic Systems Lab
@leggedrobotics
The Robotic Systems Lab designs machines, creates actuation principles, and builds up control technologies for autonomous operation in challenging environments.
Potrebbero piacerti
🌎World models have been an exciting topic, but their promise has been challenging to translate into real-world robotic control. 🤔We want to understand what the missing piece is in our recent exploration with Robotic World Model. 🎯Project: sites.google.com/view/roboticwo…
🌎Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics 👥Chenhao Li @breadli428, Andreas Krause, Marco Hutter @leggedrobotics 🎯Webpage: sites.google.com/view/roboticwo… 📄Paper: arxiv.org/abs/2501.10100 🗣️Oral presentation at EWM @NeurIPSConf.
🔥 Our Sim2Real Workshop @HumanoidsConf concluded a great success with around 200 attendees! 🔈 We had great talks from a staring line of speakers from academia and industry. Thanks to everyone who supported us! @pulkitology @leidenschaft1 @SvenBehnke @JonahSiekmann
📢 Call for Papers! We are now inviting contributions to the Workshop on Sim-to-Real Transfer for Humanoid Robots, to be held at #Humanoids2025 @HumanoidsConf in Seoul, South Korea! 🎤 We already have a great lineup of invited speakers and panelists to discuss the current…
This work will also be presented at #CoRL2025 @corl_conf in Seoul, South Korea! 📢 Catch the presentation! 📅Date: Sunday, 29 September | 4:30 - 6:00 pm 🏛️Session: Spotlight 3 & Poster 2 Don't miss the chance to talk with @ctki49, @breadli428 and @ki_ki_ki1!
🐶Motion imitation should never limit itself to simply replaying the motions in the dataset on flat terrains. In our #CoRL2025 work Motion Priors Reimagined, we extend motion tracking to complex locomotion and navigation tasks, to make skills "useful". 🔗anymalprior.github.io
anymalprior.github.io
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This work will be presented at #CoRL2025 @corl_conf in Seoul, South Korea! 📢Catch the presentation! 📅 Date: Sunday, 29 September | 3:30 - 6:00 pm 🏛️Session: Spotlight 4 & Poster 2 Talk with @KehanWen170077 and @breadli428 if you are interested!
🤖What if you want to train rough terrain humanoid locomotion but have only flat terrain demonstrations? ⛳️In ConsMimic, we introduce a principled pipeline to learn stylistic motions from demonstrations that may not align with task objectives. See you @corl_conf in Seoul!
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