Conference on Robot Learning (CoRL)

We are extremely happy to announce that CoRL talks are now online for everyone to watch: https://lnkd.in/dx5fHtdF #Robotics #DeepLearning #CoRL2024

#CoRL2024 has wrapped up—and what an incredible success! This year brought together a diverse crowd of experts, from roboticists and control theorists to optimization specialists, computer vision researchers, LLM innovators, and beyond, all united in tackling the challenges of robotics across various embodiments. We’ve seen growing momentum in differentiable simulators, reinforcement learning, LLMs and VLMs for planning, and more. While there’s no single path forward, it’s inspiring to witness groundbreaking progress on so many fronts. Truly, what a time to be part of this field! A huge thank you to all the organizers and volunteers—the real heroes who made #CoRL2024 an unforgettable experience. Here’s to pushing the boundaries of robot learning together! See you in Seoul for #CoRL2025! #RobotLearning #AI #Robotics

This Saturday, our workshop, CoRoboLearn: Advancing Learning for Human-Centered Collaborative Robots, at Conference on Robot Learning (CoRL) in Munich hosted seven great speakers from around the world, along with spotlight talks and poster presentations. Special thanks to our speakers Jiajun Wu (Stanford University), Andrea Bajcsy (CMU), Daniele Pucci (IIT), Dongheui Lee (TU Wien), Gerhard Neumann (KIT), Jaime Fernández Fisac (Princeton University), Davide Scaramuzza and Jiaxu Xing (University of Zurich) for their insightful presentations. A big thank you as well to all the co-organizers: Yue Hu (University of Waterloo), Raffaello Camoriano (Politecnico di Torino), Loris Roveda (SUPSI), and Asad Ali Shahid (SUPSI), and to all attendees for their participation and engaging discussions! It was a pleasure to attend CoRL, and I’m already looking forward to seeing you next time! #corl2024 #robotlearning Active & Interactive Robotics Lab

SAFE-ROL Workshop just started at Conference on Robot Learning (CoRL) with Sami Haddadin giving the first talk. Join us in room Mars 1! Julian Schmidt Julian Wiederer Julian Jordan Larissa Triess Kashyap Chitta Niklas Hanselmann Mario Bijelic

High-frequency torque control, long horizon optimisation, can these be combined effectively? Get some answers on this from Sam Holt at the poster session at the Safe ROL workshop; floor 3, Mars 1 room @10:30 - 11:30; and later the differentiable optimisation workshop in the afternoon slot. https://lnkd.in/eb4aypMm Google DeepMind Conference on Robot Learning (CoRL)

Excited to announce that #CoRL2025 will be held in Seoul, South Korea 🇰🇷 after an unforgettable #CoRL2024 at Munich! Next year’s conference will feature a special joint day with IEEE RAS HUMANOIDS Conference, sharing sessions to showcase cutting-edge research. We’re looking forward to groundbreaking submissions that will shape the future of robot learning. See you in Seoul for an unforgettable CoRL experience! #CoRL #RobotLearning #AI

⭐️Winners of #CoRL2024 Best Outstanding Paper Awards This year, we have two winners: 1. PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators by Kuo-Hao Zeng et al 2. One Model to Drift Them All by Franck Djeumou Congratulations to the winner and all the finalists. We hope to see these works pave the way forward for the future of robot learning! #RobotLearning #AI

The CoRL Workshop sessions have commenced. You can find information about the various workshops, room layouts, from the below links: https://lnkd.in/eF6chC2Q https://lnkd.in/e577b9H7

Towards the end of #CoRL2024 conference session, we held a Keynote Panel Session where we invited our Keynote speakers (from left to right), Cordelia Schmid Jitendra MALIK Vikash Kumar Danfei Xu Georgia Chalvatzaki Tomás Lozano-Pérez, to talk about the future directions of robot learning. Despite differences in approaches, almost everyone emphasized the need for compostionality/structure/hierarchy to abstract the robotics problem. #CoRL2024 #RobotLearning #AI