NVIDIA at CoRL and Humanoids 2025
September 27 - October 2
COEX Convention & Exhibition Center
Seoul, Korea
Discover What’s Possible With NVIDIA Robotics
The Conference on Robot Learning (CoRL) and IEEE-RAS Humanoids are premier international events advancing the frontiers of robotics, machine learning, and intelligent humanoid systems. Explore the work to see how NVIDIA Research is accelerating breakthroughs in AI-powered robotics.
Tuesday, September 29 at 1:45 p.m. KST
Keynote: Accelerating the Path to Generalist Humanoid Robots
For researchers advancing the field of robot learning, generalization, and adaptive control, the emergence of highly capable humanoid platforms represents profound new opportunities, as well as unique challenges. NVIDIA is building the Isaac™ GR00T open platform for developing humanoid robots to meet these opportunities.
Isaac GR00T consists of four parts: robot foundation models for cognition and control, simulation frameworks built on NVIDIA Omniverse™ and Cosmos™, data pipelines for generating synthetic data and environments, and the NVIDIA® Jetson AGX Thor™ supercomputer. This talk will introduce our latest research progress on building the Isaac GR00T foundation models and present new updates with the platform.
NVIDIA Research at CoRL and Humanoids
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Papers
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Workshops
NVIDIA’s accepted papers and workshops at CoRL and Humanoids 2025 feature a range of groundbreaking research in the field of robotics. From humanoids to policy, explore the work NVIDIA is bringing to the CoRL and Humanoids community.
Yixuan Huang, Novella Alvina, Mohanraj Devendran Shanthi, Tucker Hermans
Binghao Huang, Jie Xu, Iretiayo Akinola, Wei Yang, Balakumar Sundaralingam, Rowland O'Flaherty, Dieter Fox, Xiaolong Wang, Arsalan Mousavian, Yu-Wei Chao, Yunzhu Li
Jie Xu, Eric Heiden, Iretiayo Akinola, Dieter Fox, Miles Macklin, Yashraj Narang
Ruijie Zheng, Jing Wang, Scott Reed, Johan Bjorck, Yu Fang, Fengyuan Hu, Joel Jang, Kaushil Kundalia, Zongyu Lin, Loic Magne, Avnish Narayan, You Liang Tan, Guanzhi Wang, Qi Wang, Jiannan Xiang, Yinzhen Xu, Seonghyeon Ye, Jan Kautz, Furong Huang, Yuke Zhu, Linxi Fan
Joel Jang, Seonghyeon Ye, Zongyu Lin, Jiannan Xiang, Johan Bjorck, Yu Fang, Fengyuan Hu, Spencer Huang, Kaushil Kundalia, Yen-Chen Lin, Loic Magne, Ajay Mandlekar, Avnish Narayan, You Liang Tan, Guanzhi Wang, Jing Wang, Qi Wang, Yinzhen Xu, Xiaohui Zeng, Kaiyuan Zheng, Ruijie Zheng, Ming-Yu Liu, Luke Zettlemoyer, Dieter Fox, Jan Kautz, Scott Reed, Yuke Zhu, Linxi Fan
Clemens Schwarke, Victor Klemm, Joshua Bagajo, Jean-Pierre Sleiman, Ignat Georgiev, Jesus Tordesillas, Marco Hutter
Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta
Bernhard Jaeger, Daniel Dauner, Jens Beißwenger, Simon Gerstenecker, Kashyap Chitta, Andreas Geiger
Milan Ganai, Rohan Sinha, Christopher Agia, Daniel Morton, Marco Pavone
Rachel Luo, Heng Yang, Michael Watson, Apoorva Sharma, Sushant Veer, Edward Schmerling, Marco Pavone
Christopher Agia, Rohan Sinha, Jingyun Yang, Rika Antonova, Marco Pavone, Haruki Nishimura, Masha Itkina, Jeannette Bohg
Jacky Kwok, Christopher Agia, Rohan Sinha, Matt Foutter, Shulu Li, Ion Stoica, Azalia Mirhoseini, Marco Pavone
Rafael Cathomen, Mayank Mittal, Marin Vlastelica, Marco Hutter
Scalable Neural Control for Dexterous Manipulation From Reference-Scoped Exploration
Coming Soon
Sim-to-Real Reinforcement Learning for Vision-Based Dexterous Manipulation on Humanoids
Coming Soon
Saturday, September 27
Explore scalable, reproducible robot evaluation and safe deployment strategies that connect researchers tackling real-world challenges in robotics performance, monitoring, and lifecycle design.
Connect with experts shaping the future of robot learning data—tackling composition, curation, and interpretability to drive more robust, scalable, and trustworthy robotics research.
Advance safe and reliable robot learning at CoRL 2025 by joining experts focused on data curation, generalization, and rigorous validation methods for trustworthy real-world applications.
Resource-Rational Robot Learning
Drive the shift toward resource-rational robot learning by addressing trade-offs in compute, simulation, and human feedback to ensure that robot systems are efficient, scalable, and practical for real-world deployment.
Thursday, October 2
Discover specific engineering and algorithmic decisions that make robust sim-to-real transfer possible. Through talks and discussions, we’ll share practical insights and foster collaboration among researchers and industry practitioners tackling this challenge. We’ll also share lessons from real deployments to help accelerate the development of capable, real-world humanoid robots.
Turn Your Research into a Startup
Join Launching Legends at CoRL to transform your technological advancements into a world-changing startup. Connect with a supportive network of venture capital investors, industry mentors, and NVIDIA partners to launch your own company at this premier event.
NVIDIA Research
Learn about NVIDIA Research and our passion for developing technology and finding breakthroughs that bring positive change to the world. Beyond publishing our work in papers and at conferences, we apply it to NVIDIA solutions and services, share resources and code, and offer hands-on experiences with technical demos.
NVIDIA Solutions for Robotics
Like No Place You’ve Ever Worked
Working at NVIDIA, you’ll solve some of the world’s hardest problems and discover never-before-seen ways to improve the quality of life for people everywhere. From healthcare to robots, self-driving cars to blockbuster movies, you’ll experience it all. Plus, there’s a growing list of new opportunities every single day. Explore all of our open roles, including internships and new college graduate positions.
Learn more about our current job openings, as well as university jobs.
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