Learning Systems and Robotics Lab (is hiring!)
@learnsyslab
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Creating the next generation of robots w/ control, ML & perception! Led by Prof @angelaschoellig at @TU_Muenchen & @UTIAS @TUM_MIRMI @UofTRobotics @VectorInst
TU Munich and U of Toronto
Joined December 2014
“Let’s start with a bang — big energy, right away.” With SwarmGPT, anyone can describe the feeling of a performance in plain words. Paper: https://t.co/0Sz3XNWuio Videos: https://t.co/9JoKatpHod Website: https://t.co/Z042ByKNOd
#SwarmRobotics #GenerativeAI #TechMeetsArt
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Diffusion Policies and VLAs with Formal Safety Guarantees🛡️ We just released our new paper: “From Demonstrations to Safe Deployment: Path-Consistent Safety Filtering for Diffusion Policies” 📑Paper: https://t.co/Tvsne0ATQz 🌐Website: https://t.co/30KGuSg3yV
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Our paper “Failure Prediction at Runtime for Generative Robot Policies” has been accepted to #NeurIPS 2025! 📄 https://t.co/8xyb7wtpb0 🌐 https://t.co/nBcgP11PRS 💻 https://t.co/KBDZyN4D0y
#Robotics #MachineLearning #AI #GenerativeAI #Safety
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🚀Deploy VLAs & diffusion policies on real robots with 𝗖𝗥𝗜𝗦𝗣 – compliant ROS2 controllers for learning-based manipulation & teleoperation! Python, Gym and LeRobot interfaces, demo-ready. Paper & code: https://t.co/5RXED2MxNd
#robotics #VLAs
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Prof. Schoellig is giving a virtual seminar tomorrow, Aug. 26 (Tue) @ 13:00-14:30 (CEST) / 7:00-8:30 (EST) on "Aerial Swarms: From Safe Motion Planning to Language-Based Interaction." Live stream: https://t.co/X2yG1iEzoS
@TU_Muenchen @TUM_MIRMI @UofT @UofTRobotics
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Our latest work #SICNav #Diffusion: Safe and Interactive Crowd Navigation with Diffusion Trajectory Predictions has been accepted IEEE Robotics and Automation Letters #RAL! video: https://t.co/K27LQP0gTJ paper: https://t.co/bnfA4HEvei code: https://t.co/YbvTunigiZ
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The story about our crowd navigating robot aired this morning on the German public broadcaster ZDF! ZDF video: https://t.co/wamR78TLFQ w/ subtitles:
We hosted @ZDF @morgenmagazin to film a story about our crowd navigation project running SICNav. It should air on Monday 12 May 2025 between 05:30 and 09:00. SICNav @IeeeTro paper: https://t.co/cmVu8GXP15 Find us at #ICRA2025: WeET14.6, Wed. 21 May 17:05, Room 402.
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We hosted @ZDF @morgenmagazin to film a story about our crowd navigation project running SICNav. It should air on Monday 12 May 2025 between 05:30 and 09:00. SICNav @IeeeTro paper: https://t.co/cmVu8GXP15 Find us at #ICRA2025: WeET14.6, Wed. 21 May 17:05, Room 402.
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Are you a TUM student with a passion for robotics, machine learning and control? Check out our course offerings for the upcoming summer semester here: https://t.co/FB7UNsf2s0
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Jack, a wheeled #robot from our university, navigates crowds by predicting people’s paths and adjusting 10 times per second. Rather than stopping, it adapts smoothly to avoid collisions: https://t.co/plm1CBWGWx
#RoboticsInstituteGermany #AutonomousVehicles #AI 📷A. Eckert
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How can a robot traverse crowds of people? Checkout this press release about our crowd navigating robot. https://t.co/avrOWsHG6J
tum.de
Researchers at TUM have built a travelling robot that moves quickly and safely through crowds of people - thanks to interaction between humans and robots.
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What happens to your diffusion controller when cameras fail? Federico's latest paper with NASA's JPL🚀augments diffusion with long-term memory to plan and move even in total darkness using only touch sensors. 📰 https://t.co/d1VISd4w4H 📽️ https://t.co/fjVdlSY7fB
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🤖Want to make a safe RL agent? Check out Federico's and @lukas_brunke latest paper on integrating safety filters during training. They show it will boost your performance and sample efficiency! 📰 https://t.co/7n4VyRMLtc 📽️ https://t.co/Hqd5rg8AZU
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Happy Robotic Holidays from the Learning Systems and Robotics Lab! Episode 3: The Flight before Christmas Video: https://t.co/qn2ktmX0jO
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Happy Robotic Holidays from the Learning Systems and Robotics Lab! Episode 2: Santa's Little Helper. Video: https://t.co/1OgrV8wWrA
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Happy Robotic Holidays from the Learning Systems and Robotics Lab! Episode 1: Delivering Gifts. Video: https://t.co/saTd0hO08t
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Last day at #CoRL2024: join us in-person in Munich (ground floor) for an amazing set of speakers at our Master Manipulation Workshop with @svlevine starting it off. Organized by @learnsyslab
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Using our framework, a robot transports a dry sponge at normal speed, but when holding a cup of water, the robot now also considers semantic constraints, for example, not moving above the laptop and avoiding rotating the cup to avoid spillage. (5/5)
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For each scene, collision constraints are generated from object point clouds. In addition, semantic constraints are based on point clouds, semantic labels, and LLM-derived safety conditions: spatial (blue text), behavioural (orange text), and pose-based (green text). (4/5)
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