Join NVIDIA at CoRL 2024

November 6–9
Science Congress Center Munich
Munich, Germany

    Discover What’s Possible With NVIDIA Robotics

    The Conference on Robot Learning (CoRL) is an annual international conference focusing on the intersection of robotics and machine learning. Explore the work to see how NVIDIA Research collaborates with CoRL members to deliver AI breakthroughs across the community.

    NVIDIA Research at CoRL

    NVIDIA’s accepted papers at CoRL 2024 feature a range of groundbreaking research in the field of robotics. From humanoids to policy, explore the work NVIDIA is bringing to the CoRL community. 

    *Denotes equal contribution to the paper.

    SPIRE: Synergistic Planning, Imitation, and Reinforcement for Long-Horizon Manipulation

    Zihan Zhao, Animesh Garg, Caelan Garrett*, Ajay Mandlekar* | Website

    Discovering Robotic Interaction Modes With Discrete Representation Learning

    Liquan Wang, Ankit Goyal, Haoping Xu, Animesh Garg | Website

    Avoid Everything: Model-Free Collision Avoidance With Expert-Guided Fine-Tuning

    Adam Fishman, Aaron Walsman, Mohak Bhardwaj, Wentao Yuan, Balakumar Sundaralingam, Byron Boots, Dieter Fox | Website

    RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics

    Wentao Yuan, Jiafei Duan, Valts Blukis, Wilbert Pumacay, Ranjay Krishna, Adithyavairavan Murali, Arsalan Mousavian, Dieter Fox | Website

    DiffusionSeeder: Seeding Motion Optimization With Diffusion for Rapid Motion Planning

    Raven Huang, Balakumar Sundaralingam, Arsalan Mousavian, Adithyavairavan Murali, Ken Goldberg, Dieter Fox | Website

    NOD-TAMP: Generalizable Long-Horizon Planning With Neural Object Descriptors

    Shuo Cheng, Caelan Garrett*, Ajay Mandlekar*, Danfei Xu | Website

    SkillGen: Automated Demonstration Generation for Efficient Skill Learning and Deployment

    Caelan Garrett*, Ajay Mandlekar*, Bowen Wen, Dieter Fox | Website

    Manipulate-Anything: Automating Real-World Robots Using Vision-Language Models

    Jiafei Duan, Wentao Yuan, Wilbert Pumacay, Yi Ru Wang, Kiana Ehsani, Dieter Fox, Ranjay Krishna | Website

    DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping With Geometric Fabrics

    Tyler Ga Wei Lum*, Martin Matak*, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff*, Karl Van Wyk* | Website

    Multi-Task Interactive Robot Fleet Learning With Visual World Models

    Huihan Liu, Yu Zhang, Vaarij Betala, Evan Zhang, James Liu, Crystal Ding, Yuke Zhu | Website

    Harmon: Whole-Body Motion Generation of Humanoid Robots From Language Descriptions

    Zhenyu Jiang, Yuqi Xie, Jinhan Li, Ye Yuan, Yifeng Zhu, Yuke Zhu | Website

    OKAMI: Teaching Humanoid Robots Manipulation Skills Through Single Video Imitation

    Jinhan Li, Yifeng Zhu, Yuqi Xie, Zhenyu Jiang, Mingyo Seo, Georgios Pavlakos, Yuke Zhu | Website

    Gentle Manipulation of Tree Branches: A Contact-Aware Policy Learning Approach

    Jay Jacob, Shizhe Cai, Paulo Vinicius Koerich Borges, Tirthankar Bandyopadhyay, Fabio Ramos | Website

    ReMEmbR: Building and Reasoning Over Long-Horizon Spatio-Temporal Memory for Robot Navigation

    Abrar Anwar, John Welsh, Joydeep Biswas, Soha Pouya, Yan Chang | Website

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    NVIDIA’s workshops at CoRL 2024 feature a range of groundbreaking research in the field of robotics. From humanoids to policy, explore the work NVIDIA is bringing to the CoRL community.

    LocoLearn: From Bioinspired Gait Generation to Active Perception

    Website

    3rd Workshop on Language and Robot Learning: Language as an Interface

    Website

    Learning Robot Fine and Dexterous Manipulation: Perception and Control

    Website

    CoRoboLearn: Advancing Learning for Human-Centered Collaborative Robots

    Website

    Differentiable Optimization at All Scales: Simulation, Estimation, Learning, and Control

    Website

    Learning Effective Abstractions for Planning (LEAP)

    Website

    1st Workshop on X-Embodiment Robot Learning

    Website

    Workshop on Whole-Body Control and Bimanual Manipulation: Applications in Humanoids and Beyond

    Website

    A World Built by Robots: Workshop on Learning Robotic Assembly of Industrial and Everyday Objects

    Website

    SAFE-ROL: Safe and Robust Robot Learning for Operation in the Real World

    Website

    Lifelong Learning for Household Robots

    Website

    Morphology-Aware Policy and Design Learning Workshop (MAPoDeL)

    Website

    Mastering Robot Manipulation in a World of Abundant Data)

    Website
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    NVIDIA Research

    Discover our most recent AI research and the new capabilities deep learning brings to visual and audio applications. Explore the latest innovations and see how you can bring them into your own work.

    Explore Here

    Explore NVIDIA Robotics Solutions

    Isaac ROS

    NVIDIA Isaac™ ROS is built on the open-source ROS 2 software framework. This means the millions of developers in the ROS community can take advantage of NVIDIA-accelerated libraries and AI models to accelerate their development and deployment workflows.

    Learn About Isaac ROS

    Isaac Perceptor

    Isaac Perceptor is a workflow built on Isaac ROS that lets you quickly build robust autonomous mobile robots (AMRs) that can perceive, localize, and operate in unstructured environments like warehouses or factories.

    Discover Isaac Perceptor

    Isaac Manipulator

    The Isaac Manipulator workflow is built on Isaac ROS, letting you build AI-enabled robot arms—or manipulators—that can seamlessly perceive, understand, and interact with their environments.

    Check Out Isaac Manipulator

    Isaac Sim

    NVIDIA Isaac Sim™ is a reference application enabling developers to design, simulate, test, and train AI-based robots and autonomous machines in a physically based virtual environment.

    Explore Isaac Sim

    NVIDIA Robotics Developer Resources and Community

    Documentation

    Explore the NVIDIA Isaac ROS document hub for key resources, like a getting started guide, reference workflows, packages, and more.

    See Isaac ROS Documentation

    Training

    NVIDIA offers extensive robotics training and resources to enhance your expertise in AI and related technologies. 

    Get Started

    Forums

    Dive into the NVIDIA robotics community to connect, ask questions, and receive expert advice and tailored recommendations.

    Dive Into Forums

    Livestream

    Participate in our regular robotics livestreams to interact with a vibrant community of developers and industry experts.

    Join Our Livestream

    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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